Shows
Top of Mind with Julie RoseWhat We Get Wrong About Autism — Told by Autistic VoicesWhat if the world believed you couldn’t understand it—while inside, your mind was full of thoughts, poetry, and frustration you had no way to express?
In this episode of Top of Mind, host Julie Rose sits down with Emily Grodin, who spent 25 years unable to speak, and her mother Valerie Gilpeer, to share the extraordinary story of the moment Emily finally found her voice through typing after a devastating meltdown on a transatlantic flight.
Emily’s poems and reflections challenge long-held assumptions about autism, communication, and intelligence. Her story is paired with insights from journalist Eric Garcia, psychologist Dr. Mo...
2026-01-0554 min
Learning Bayesian Statistics#71 Artificial Intelligence, Deepmind & Social Change, with Julien CornebiseProudly sponsored by PyMC Labs, the Bayesian Consultancy. Book a call, or get in touch!This episode will show you different sides of the tech world. The one where you research and apply algorithms, where you get super excited about image recognition and AI-generated art. And the one where you support social change actors — aka the “AI for Good” movement.My guest for this episode is, quite naturally, Julien Cornebise. Julien is an Honorary Associate Professor at UCL. He was an early researcher at DeepMind where he designed its early algorithms. He then worked as a Dire...
2022-11-141h 05
Learning Bayesian Statistics#70 Teaching Bayes for Biology & Biological Engineering, with Justin BoisProudly sponsored by PyMC Labs, the Bayesian Consultancy. Book a call, or get in touch!Back in 2016, when I started dedicating my evenings and weekends to learning how to code and do serious stats, I was a bit lost… Where do I start? Which language do I pick? Why are all those languages just named with one single letter??Then I found some stats classes by Justin Bois — and it was a tremendous help to get out of that wood (and yes, this was a pun). I really loved Justin’s teaching because he was making...
2022-10-221h 05Learning Bayesian Statistics#70 Teaching Bayes for Biology & Biological Engineering, with Justin BoisProudly sponsored by PyMC Labs, the Bayesian Consultancy. Book a call, or get in touch!Back in 2016, when I started dedicating my evenings and weekends to learning how to code and do serious stats, I was a bit lost… Where do I start? Which language do I pick? Why are all those languages just named with one single letter??Then I found some stats classes by Justin Bois — and it was a tremendous help to get out of that wood (and yes, this was a pun). I really loved Justin’s teaching because he was making...
2022-10-221h 05
Learning Bayesian Statistics#69 Why, When & How to use Bayes Factors, with Jorge TendeiroProudly sponsored by PyMC Labs, the Bayesian Consultancy. Book a call, or get in touch!A great franchise comes with a great rivalry: Marvel has Iron Man and Captain America; physics has General Relativity and Quantum Physics; and Bayesian stats has Posterior Estimation and… Bayes Factors!A few months ago, I had the pleasure of hosting EJ Wagenmakers, to talk about these topics. This time, I’m talking with Jorge Tendeiro, who has a different perspective on Null Hypothesis Testing in the Bayesian framework, and its relationship with generative models and posterior estimation.But...
2022-10-0553 minLearning Bayesian Statistics#69 Why, When & How to use Bayes Factors, with Jorge TendeiroProudly sponsored by PyMC Labs, the Bayesian Consultancy. Book a call, or get in touch!A great franchise comes with a great rivalry: Marvel has Iron Man and Captain America; physics has General Relativity and Quantum Physics; and Bayesian stats has Posterior Estimation and… Bayes Factors!A few months ago, I had the pleasure of hosting EJ Wagenmakers, to talk about these topics. This time, I’m talking with Jorge Tendeiro, who has a different perspective on Null Hypothesis Testing in the Bayesian framework, and its relationship with generative models and posterior estimation.But...
2022-10-0553 min
Learning Bayesian Statistics#68 Probabilistic Machine Learning & Generative Models, with Kevin MurphyProudly sponsored by PyMC Labs, the Bayesian Consultancy. Book a call, or get in touch!Hosting someone like Kevin Murphy on your podcast is… complicated. Not because Kevin himself is complicated (he’s delightful, don’t make me say what I didn’t say!), but because all the questions I had for him amounted to a 12-hour show.Sooooo, brace yourselves folks!No, I'm kidding. Of course I didn’t do that folks, Kevin has a life! This life started in Ireland, where he was born. He grew up in England and got his BA fro...
2022-09-141h 05Learning Bayesian Statistics#68 Probabilistic Machine Learning & Generative Models, with Kevin MurphyProudly sponsored by PyMC Labs, the Bayesian Consultancy. Book a call, or get in touch!Hosting someone like Kevin Murphy on your podcast is… complicated. Not because Kevin himself is complicated (he’s delightful, don’t make me say what I didn’t say!), but because all the questions I had for him amounted to a 12-hour show.Sooooo, brace yourselves folks!No, I'm kidding. Of course I didn’t do that folks, Kevin has a life! This life started in Ireland, where he was born. He grew up in England and got his BA fro...
2022-09-141h 05
Learning Bayesian Statistics#67 Exoplanets, Cool Worlds & Life in the Universe, with David KippingProudly sponsored by PyMC Labs, the Bayesian Consultancy. Book a call, or get in touch!Is there life in the Universe? It doesn’t get deeper than this, does it? And yet, why do we care about that? In the very small chance that there is other life in the Universe, we have even less chance to discover it, talk to it and meet it. So, why do we care?Well, it may surprise you but Bayesian statistics helps us think about these astronomical and — dare I say? — philosophical topics, as my guest, David Kipping, will b...
2022-08-311h 00Learning Bayesian Statistics#67 Exoplanets, Cool Worlds & Life in the Universe, with David KippingProudly sponsored by PyMC Labs, the Bayesian Consultancy. Book a call, or get in touch!Is there life in the Universe? It doesn’t get deeper than this, does it? And yet, why do we care about that? In the very small chance that there is other life in the Universe, we have even less chance to discover it, talk to it and meet it. So, why do we care?Well, it may surprise you but Bayesian statistics helps us think about these astronomical and — dare I say? — philosophical topics, as my guest, David Kipping, will b...
2022-08-311h 00
Learning Bayesian Statistics#66 Uncertainty Visualization & Usable Stats, with Matthew KayProudly sponsored by PyMC Labs, the Bayesian Consultancy. Book a call, or get in touch!I have to confess something: I love challenges. And when you’re a podcaster, what’s a better challenge than dedicating an episode to… visualization? Impossible you say? Well, challenge accepted!Thankfully, I got the help of a visualization Avenger for this episode — namely, Matthew Kay. Matt is an Assistant Professor jointly appointed in Computer Science and Communications Studies at Northwestern University, where he co-directs the Midwest Uncertainty Collective — I know, it’s a pretty cool name for a lab.He wor...
2022-08-171h 01Learning Bayesian Statistics#66 Uncertainty Visualization & Usable Stats, with Matthew KayProudly sponsored by PyMC Labs, the Bayesian Consultancy. Book a call, or get in touch!I have to confess something: I love challenges. And when you’re a podcaster, what’s a better challenge than dedicating an episode to… visualization? Impossible you say? Well, challenge accepted!Thankfully, I got the help of a visualization Avenger for this episode — namely, Matthew Kay. Matt is an Assistant Professor jointly appointed in Computer Science and Communications Studies at Northwestern University, where he co-directs the Midwest Uncertainty Collective — I know, it’s a pretty cool name for a lab.He wor...
2022-08-171h 01
Learning Bayesian Statistics#65 PyMC, Aeppl, & Aesara: the new cool kids on the block, with Ricardo VieiraProudly sponsored by PyMC Labs, the Bayesian Consultancy. Book a call, or get in touch!Folks, there are some new cool kids on the block. They are called PyMC, Aeppl, and Aesara, and it’s high time we give us a proper welcome!To do that, who better than one of the architects of the new PyMC 4.0 — Ricardo Vieira! In this episode, he’ll walk us through the inner workings of the newly released version of PyMC, telling us why the Aesara backend and the brand new RandomVariable operators constitute such strong foundations for your belove...
2022-08-031h 05Learning Bayesian Statistics#65 PyMC, Aeppl, & Aesara: the new cool kids on the block, with Ricardo VieiraProudly sponsored by PyMC Labs, the Bayesian Consultancy. Book a call, or get in touch!Folks, there are some new cool kids on the block. They are called PyMC, Aeppl, and Aesara, and it’s high time we give us a proper welcome!To do that, who better than one of the architects of the new PyMC 4.0 — Ricardo Vieira! In this episode, he’ll walk us through the inner workings of the newly released version of PyMC, telling us why the Aesara backend and the brand new RandomVariable operators constitute such strong foundations for your belove...
2022-08-031h 05
Learning Bayesian Statistics#64 Modeling the Climate & Gravity Waves, with Laura MansfieldProudly sponsored by PyMC Labs, the Bayesian Consultancy. Book a call, or get in touch!I’m sure you’ve already heard of gravitational waves, because my listeners are the coolest and smartest ever ;) But did you know about gravity waves? That’s right, waves in the sky due to gravity — sounds awesome, right?Well, I’m pretty sure that Laura Mansfield will confirm your prior. Currently a postdoc at Stanford University, Laura studies — guess what? — gravity waves and how they are represented in climate models. In particular, she uses Bayesian methods to estimate the uncertainty on...
2022-07-201h 07Learning Bayesian Statistics#64 Modeling the Climate & Gravity Waves, with Laura MansfieldProudly sponsored by PyMC Labs, the Bayesian Consultancy. Book a call, or get in touch!I’m sure you’ve already heard of gravitational waves, because my listeners are the coolest and smartest ever ;) But did you know about gravity waves? That’s right, waves in the sky due to gravity — sounds awesome, right?Well, I’m pretty sure that Laura Mansfield will confirm your prior. Currently a postdoc at Stanford University, Laura studies — guess what? — gravity waves and how they are represented in climate models. In particular, she uses Bayesian methods to estimate the uncertainty on...
2022-07-201h 07
Learning Bayesian Statistics#63 Media Mix Models & Bayes for Marketing, with Luciano PazProudly sponsored by PyMC Labs, the Bayesian Consultancy. Book a call, or get in touch!Inviting someone like Luciano Paz on a stats podcast is both a pleasure and a challenge — he does so many things brilliantly that you have too many questions to ask him…In this episode, I’ve chosen — not without difficulty — to focus on the applications of Bayesian stats in the marketing industry, especially Media Mix Models. Ok, I also asked Luciano about other topics — but you know me, I like to talk…Originally, Luciano studied physics. He then did a PhD and...
2022-06-281h 14Learning Bayesian Statistics#63 Media Mix Models & Bayes for Marketing, with Luciano PazProudly sponsored by PyMC Labs, the Bayesian Consultancy. Book a call, or get in touch!Inviting someone like Luciano Paz on a stats podcast is both a pleasure and a challenge — he does so many things brilliantly that you have too many questions to ask him…In this episode, I’ve chosen — not without difficulty — to focus on the applications of Bayesian stats in the marketing industry, especially Media Mix Models. Ok, I also asked Luciano about other topics — but you know me, I like to talk…Originally, Luciano studied physics. He then did a PhD and...
2022-06-281h 14
Learning Bayesian Statistics#62 Bayesian Generative Modeling for Healthcare, with Maria SkoularidouProudly sponsored by PyMC Labs, the Bayesian Consultancy. Book a call, or get in touch!We talk a lot about generative modeling on this podcast — at least since episode 6, with Michael Betancourt! And an area where this way of modeling is particularly useful is healthcare, as Maria Skoularidou will tell us in this episode.Maria is a final year PhD student at the University of Cambridge. Her thesis is focused on probabilistic machine learning and, more precisely, towards using generative modeling in… you guessed it: healthcare!But her fields of interest are diverse: from...
2022-06-0857 minLearning Bayesian Statistics#62 Bayesian Generative Modeling for Healthcare, with Maria SkoularidouProudly sponsored by PyMC Labs, the Bayesian Consultancy. Book a call, or get in touch!We talk a lot about generative modeling on this podcast — at least since episode 6, with Michael Betancourt! And an area where this way of modeling is particularly useful is healthcare, as Maria Skoularidou will tell us in this episode.Maria is a final year PhD student at the University of Cambridge. Her thesis is focused on probabilistic machine learning and, more precisely, towards using generative modeling in… you guessed it: healthcare!But her fields of interest are diverse: from...
2022-06-0857 min
Learning Bayesian Statistics#61 Why we still use non-Bayesian methods, with EJ WagenmakersThe big problems with classic hypothesis testing are well-known. And yet, a huge majority of statistical analyses are still conducted this way. Why is it? Why are things so hard to change? Can you even do (and should you do) hypothesis testing in the Bayesian framework?I guess if you wanted to name this episode in a very Marvelian way, it would be “Bayes factors against the p-values of madness” — but we won’t do that, it wouldn’t be appropriate, would it?Anyways, in this episode, I’ll talk about all these very light and consensu...
2022-05-191h 16Learning Bayesian Statistics#61 Why we still use non-Bayesian methods, with EJ WagenmakersThe big problems with classic hypothesis testing are well-known. And yet, a huge majority of statistical analyses are still conducted this way. Why is it? Why are things so hard to change? Can you even do (and should you do) hypothesis testing in the Bayesian framework?I guess if you wanted to name this episode in a very Marvelian way, it would be “Bayes factors against the p-values of madness” — but we won’t do that, it wouldn’t be appropriate, would it?Anyways, in this episode, I’ll talk about all these very light and consensu...
2022-05-191h 16
Learning Bayesian Statistics#60 Modeling Dialogues & Languages, with J.P. de RuiterWhy do we, humans, communicate? And how? And isn’t that a problem that to study communication we have to… communicate?Did you ever ask yourself that? Because J.P. de Ruiter did — and does everyday. But he’s got good reasons: JP is a cognitive scientist whose primary research focus is on the cognitive foundations of human communication. He aims to improve our understanding of how humans and artificial agents use language, gesture and other types of signals to effectively communicate with each other.Currently he has one of the two Bridge Professorship at Tufts Uni...
2022-04-301h 12Learning Bayesian Statistics#60 Modeling Dialogues & Languages, with J.P. de RuiterWhy do we, humans, communicate? And how? And isn’t that a problem that to study communication we have to… communicate?Did you ever ask yourself that? Because J.P. de Ruiter did — and does everyday. But he’s got good reasons: JP is a cognitive scientist whose primary research focus is on the cognitive foundations of human communication. He aims to improve our understanding of how humans and artificial agents use language, gesture and other types of signals to effectively communicate with each other.Currently he has one of the two Bridge Professorship at Tufts Uni...
2022-04-301h 12
Learning Bayesian Statistics#59 Bayesian Modeling in Civil Engineering, with Michael FaberIn large-scale one-off civil infrastructure, decision-making under uncertainty is part of the job, that’s just how it is. But, civil engineers don't get the luxury of building 10^6 versions of the bridge, offshore wind turbine or aeronautical structure to consider a relative frequency interpretation!And as you’ll hear, challenges don’t stop there: you also have to consider natural hazards such as earthquakes, rockfall and typhoons — in case you were wondering, civil engineering is not among the boring jobs!To talk about these original topics, I had the pleasure to host Michael Faber. Michael is a Pro...
2022-04-1459 minLearning Bayesian Statistics#59 Bayesian Modeling in Civil Engineering, with Michael FaberIn large-scale one-off civil infrastructure, decision-making under uncertainty is part of the job, that’s just how it is. But, civil engineers don't get the luxury of building 10^6 versions of the bridge, offshore wind turbine or aeronautical structure to consider a relative frequency interpretation!And as you’ll hear, challenges don’t stop there: you also have to consider natural hazards such as earthquakes, rockfall and typhoons — in case you were wondering, civil engineering is not among the boring jobs!To talk about these original topics, I had the pleasure to host Michael Faber. Michael is a Pro...
2022-04-1459 min
Top of Mind with Julie RoseImproving Life for People with AutismLiving with autism comes with many challenges. In the past, the prevailing attitude was to fix or cure autism. But how could life improve for autistic people if we looked at the world through their eyes? Autistic people don’t necessarily want a cure. What they want is a better quality of life that allows them to have greater independence and be their true selves. In this podcast episode, we talk with autism advocates who argue that the way to make life better for people with autism spectrum disorder is not to force them to fit the world, but to he...
2022-04-0452 min
Learning Bayesian Statistics#58 Bayesian Modeling and Computation, with Osvaldo Martin, Ravin Kumar and Junpeng LaoYou know when you have friends who wrote a book and pressure you to come on your podcast? That’s super annoying, right?Well that’s not what happened with Ravin Kumar, Osvaldo Martin and Junpeng Lao — I was the one who suggested doing a special episode about their new book, Bayesian Modeling and Computation in Python. And since they cannot say no to my soothing French accent, well, they didn’t say no…All of them were on the podcast already, so I’ll refer you to their solo episode for background on their background —...
2022-03-211h 09Learning Bayesian Statistics#58 Bayesian Modeling and Computation, with Osvaldo Martin, Ravin Kumar and Junpeng LaoYou know when you have friends who wrote a book and pressure you to come on your podcast? That’s super annoying, right?Well that’s not what happened with Ravin Kumar, Osvaldo Martin and Junpeng Lao — I was the one who suggested doing a special episode about their new book, Bayesian Modeling and Computation in Python. And since they cannot say no to my soothing French accent, well, they didn’t say no…All of them were on the podcast already, so I’ll refer you to their solo episode for background on their background —...
2022-03-211h 09
Learning Bayesian Statistics#57 Forecasting French Elections, with… Mystery GuestNo, no, don't leave! You did not click on the wrong button. You are indeed on Alex Andorra’s podcast. The podcast that took the Bayesian world by a storm: “Learning Bayesian Statistics”, and that Barack Obama deemed “the best podcast in the whole galaxy” – or maybe Alex said that, I don’t remember.Alex made us discover new methods, new ideas, and mostly new people. But what do we really know about him? Does he even really exist? To find this out I put on my Frenchest beret, a baguette under my arm, and went undercover to try to find...
2022-03-031h 21Learning Bayesian Statistics#57 Forecasting French Elections, with… Mystery GuestNo, no, don't leave! You did not click on the wrong button. You are indeed on Alex Andorra’s podcast. The podcast that took the Bayesian world by a storm: “Learning Bayesian Statistics”, and that Barack Obama deemed “the best podcast in the whole galaxy” – or maybe Alex said that, I don’t remember.Alex made us discover new methods, new ideas, and mostly new people. But what do we really know about him? Does he even really exist? To find this out I put on my Frenchest beret, a baguette under my arm, and went undercover to try to find...
2022-03-031h 21
Learning Bayesian Statistics#56 Causal & Probabilistic Machine Learning, with Robert Osazuwa NessDid you know there is a relationship between the size of firetrucks and the amount of damage down to a flat during a fire? The bigger the truck sent to put out the fire, the bigger the damages tend to be. The solution is simple: just send smaller firetrucks!Wait, that doesn’t sound right, does it? Our brain is a huge causal machine, so it can instinctively feel it’s not credible that size of truck and amount of damage done are causally related: there must be another variable explaining the correlation. Here, it’s of course...
2022-02-161h 08Learning Bayesian Statistics#56 Causal & Probabilistic Machine Learning, with Robert Osazuwa NessDid you know there is a relationship between the size of firetrucks and the amount of damage down to a flat during a fire? The bigger the truck sent to put out the fire, the bigger the damages tend to be. The solution is simple: just send smaller firetrucks!Wait, that doesn’t sound right, does it? Our brain is a huge causal machine, so it can instinctively feel it’s not credible that size of truck and amount of damage done are causally related: there must be another variable explaining the correlation. Here, it’s of course...
2022-02-161h 08
Learning Bayesian Statistics#55 Neuropsychology, Illusions & Bending Reality, with Dominique MakowskiWhat’s the common point between fiction, fake news, illusions and meditation? They can all be studied with Bayesian statistics, of course!In this mind-bending episode, Dominique Makowski will for sure expand your horizon. Trained as a clinical neuropsychologist, he is currently working as a postdoc at the Clinical Brain Lab in Singapore, in which he leads the Reality Bending Team. What’s reality-bending you ask? Well, you’ll have to listen to the episode, but I can already tell you we’ll go through a journey in scientific methodology, history of art, religion, and philosophy — what else?
2022-01-311h 13Learning Bayesian Statistics#55 Neuropsychology, Illusions & Bending Reality, with Dominique MakowskiWhat’s the common point between fiction, fake news, illusions and meditation? They can all be studied with Bayesian statistics, of course!In this mind-bending episode, Dominique Makowski will for sure expand your horizon. Trained as a clinical neuropsychologist, he is currently working as a postdoc at the Clinical Brain Lab in Singapore, in which he leads the Reality Bending Team. What’s reality-bending you ask? Well, you’ll have to listen to the episode, but I can already tell you we’ll go through a journey in scientific methodology, history of art, religion, and philosophy — what else?
2022-01-311h 13
Learning Bayesian Statistics#54 Bayes in Theoretical Ecology, with Florian HartigLet’s be honest: evolution is awesome! I started reading Improbable Destinies: Fate, Chance, and the Future of Evolution, by Jonathan Losos, and I’m utterly fascinated. So I’m thrilled to welcome Florian Hartig on the show. Florian is a professor of Theoretical Ecology at the University of Regensburg, Germany. His research concentrates on theory, computer simulations, statistical methods and machine learning in ecology & evolution. He is also interested in open science and open software development, and maintains, among other projects, the R packages DHARMa and BayesianTools.Among other things, we talked about approximate Bayesian...
2022-01-141h 08Learning Bayesian Statistics#54 Bayes in Theoretical Ecology, with Florian HartigLet’s be honest: evolution is awesome! I started reading Improbable Destinies: Fate, Chance, and the Future of Evolution, by Jonathan Losos, and I’m utterly fascinated. So I’m thrilled to welcome Florian Hartig on the show. Florian is a professor of Theoretical Ecology at the University of Regensburg, Germany. His research concentrates on theory, computer simulations, statistical methods and machine learning in ecology & evolution. He is also interested in open science and open software development, and maintains, among other projects, the R packages DHARMa and BayesianTools.Among other things, we talked about approximate Bayesian...
2022-01-141h 08
Learning Bayesian Statistics#53 Bayesian Stats for the Behavioral & Neural Sciences, with Todd HudsonGet a 30% discount on Todd's book by entering the code BDABNS22 at checkout!The behavioral and neural sciences are a nerdy interest of mine, but I didn’t dedicate any episode to that topic yet. But life brings you gifts sometimes (especially around Christmas…), and here that gift is a book, Bayesian Data Analysis for the Behavioral and Neural Sciences, by Todd Hudson.Todd is a part of the faculty at New York University Grossman School of Medicine and also the New York University Tandon School of Engineering. He is a computational neuroscientist working in seve...
2021-12-2856 minLearning Bayesian Statistics#53 Bayesian Stats for the Behavioral & Neural Sciences, with Todd HudsonGet a 30% discount on Todd's book by entering the code BDABNS22 at checkout!The behavioral and neural sciences are a nerdy interest of mine, but I didn’t dedicate any episode to that topic yet. But life brings you gifts sometimes (especially around Christmas…), and here that gift is a book, Bayesian Data Analysis for the Behavioral and Neural Sciences, by Todd Hudson.Todd is a part of the faculty at New York University Grossman School of Medicine and also the New York University Tandon School of Engineering. He is a computational neuroscientist working in seve...
2021-12-2856 min
Learning Bayesian Statistics#52 Election forecasting models in Germany, with Marcus GrossDid I mention I like survey data, especially in the context of electoral forecasting? Probably not, as I’m a pretty shy and reserved man. Why are you laughing?? Yeah, that’s true, I’m not that shy… but I did mention my interest for electoral forecasting already!And before doing a full episode where I’ll talk about French elections (yes, that’ll come at one point), let’s talk about one of France’s neighbors — Germany. Our German friends had federal elections a few weeks ago — consequential elections, since they had the hard task of replacing Angela Mer...
2021-12-0958 minLearning Bayesian Statistics#52 Election forecasting models in Germany, with Marcus GrossDid I mention I like survey data, especially in the context of electoral forecasting? Probably not, as I’m a pretty shy and reserved man. Why are you laughing?? Yeah, that’s true, I’m not that shy… but I did mention my interest for electoral forecasting already!And before doing a full episode where I’ll talk about French elections (yes, that’ll come at one point), let’s talk about one of France’s neighbors — Germany. Our German friends had federal elections a few weeks ago — consequential elections, since they had the hard task of replacing Angela Mer...
2021-12-0958 min
Learning Bayesian Statistics#51 Bernoulli’s Fallacy & the Crisis of Modern Science, with Aubrey ClaytonYou know I love epistemology — the study of how we know what we know. It was high time I dedicated a whole episode to this topic. And what better guest than Aubrey Clayton, the author of the book Bernoulli's Fallacy: Statistical Illogic and the Crisis of Modern Science. I’m in the middle of reading it, and it’s a really great read!Aubrey is a mathematician in Boston who teaches the philosophy of probability and statistics at the Harvard Extension School. He holds a PhD in mathematics from the University of California, Berkeley, and his writing has ap...
2021-11-221h 09Learning Bayesian Statistics#51 Bernoulli’s Fallacy & the Crisis of Modern Science, with Aubrey ClaytonYou know I love epistemology — the study of how we know what we know. It was high time I dedicated a whole episode to this topic. And what better guest than Aubrey Clayton, the author of the book Bernoulli's Fallacy: Statistical Illogic and the Crisis of Modern Science. I’m in the middle of reading it, and it’s a really great read!Aubrey is a mathematician in Boston who teaches the philosophy of probability and statistics at the Harvard Extension School. He holds a PhD in mathematics from the University of California, Berkeley, and his writing has ap...
2021-11-221h 09
Learning Bayesian Statistics#50 Ta(l)king Risks & Embracing Uncertainty, with David SpiegelhalterFolks, this is the 50th episode of LBS — 50th! I never would have thought that there were so many Bayesian nerds in the world when I first interviewed Osvaldo Martin more than 2 years ago. To celebrate that random, crazy adventure, I wanted to do a special episode at any random point, and so it looks like it’s gonna be #50! This episode is special by its guest, not its number — although my guest knows a thing or two about numbers. Most recently, he wrote the book Covid by Numbers.A mathematical statistician dedicated to helping the gen...
2021-11-061h 04Learning Bayesian Statistics#50 Ta(l)king Risks & Embracing Uncertainty, with David SpiegelhalterFolks, this is the 50th episode of LBS — 50th! I never would have thought that there were so many Bayesian nerds in the world when I first interviewed Osvaldo Martin more than 2 years ago. To celebrate that random, crazy adventure, I wanted to do a special episode at any random point, and so it looks like it’s gonna be #50! This episode is special by its guest, not its number — although my guest knows a thing or two about numbers. Most recently, he wrote the book Covid by Numbers.A mathematical statistician dedicated to helping the gen...
2021-11-061h 04
Learning Bayesian Statistics#49 The Present & Future of Baseball Analytics, with Ehsan BokhariIt’s been a while since I did an episode about sports analytics, right? And you know it’s a field I love, so… let’s do that!For this episode, I was happy to host Ehsan Bokhari, not only because he’s a first-hour listener of the podcast and spread the word about it whenever he can, but mainly because he knows baseball analytics very well!Currently Senior Director of Strategic Decision Making with the Houston Astros, he previously worked there as Senior Director of Player Evaluation and Director of R&D. And before that, he w...
2021-10-221h 12Learning Bayesian Statistics#49 The Present & Future of Baseball Analytics, with Ehsan BokhariIt’s been a while since I did an episode about sports analytics, right? And you know it’s a field I love, so… let’s do that!For this episode, I was happy to host Ehsan Bokhari, not only because he’s a first-hour listener of the podcast and spread the word about it whenever he can, but mainly because he knows baseball analytics very well!Currently Senior Director of Strategic Decision Making with the Houston Astros, he previously worked there as Senior Director of Player Evaluation and Director of R&D. And before that, he w...
2021-10-221h 12
Learning Bayesian Statistics#48 Mixed Effects Models & Beautiful Plots, with TJ MahrIn episode 40, we already got a glimpse of how useful Bayesian stats are in the speech and communication sciences. To talk about the frontiers of this field (and, as it happens, about best practices to make beautiful plots and pictures), I invited TJ Mahr on the show.A speech pathologist turned data scientist, TJ earned his PhD in communication sciences and disorders in Madison, Wisconsin. On paper, he was studying speech development, word recognition and word learning in preschoolers, but over the course of his graduate training, he discovered that he really, really likes programming and working...
2021-10-081h 01Learning Bayesian Statistics#48 Mixed Effects Models & Beautiful Plots, with TJ MahrIn episode 40, we already got a glimpse of how useful Bayesian stats are in the speech and communication sciences. To talk about the frontiers of this field (and, as it happens, about best practices to make beautiful plots and pictures), I invited TJ Mahr on the show.A speech pathologist turned data scientist, TJ earned his PhD in communication sciences and disorders in Madison, Wisconsin. On paper, he was studying speech development, word recognition and word learning in preschoolers, but over the course of his graduate training, he discovered that he really, really likes programming and working...
2021-10-081h 01
Learning Bayesian Statistics#47 Bayes in Physics & Astrophysics, with JJ RubyThe field of physics has brought tremendous advances to modern Bayesian statistics, especially inspiring the current algorithms enabling all of us to enjoy the Bayesian power on our own laptops.I did receive some physicians already on the show, like Michael Betancourt in episode 6, but in my legendary ungratefulness I hadn’t dedicated a whole episode to talk about physics yet.Well that’s now taken care of, thanks to JJ Ruby. Apart from having really good tastes (he’s indeed a fan of this very podcast), JJ is currently a postdoctoral fellow for the Center...
2021-09-211h 15Learning Bayesian Statistics#47 Bayes in Physics & Astrophysics, with JJ RubyThe field of physics has brought tremendous advances to modern Bayesian statistics, especially inspiring the current algorithms enabling all of us to enjoy the Bayesian power on our own laptops.I did receive some physicians already on the show, like Michael Betancourt in episode 6, but in my legendary ungratefulness I hadn’t dedicated a whole episode to talk about physics yet.Well that’s now taken care of, thanks to JJ Ruby. Apart from having really good tastes (he’s indeed a fan of this very podcast), JJ is currently a postdoctoral fellow for the Center...
2021-09-211h 15
Learning Bayesian Statistics#46 Silly & Empowering Statistics, with Chelsea Parlett-PelleritiYou wanna know something funny? A sentence from this episode became a meme. And people even made stickers out of it! Ok, that’s not true. But if someone could pull off something like that, it would surely be Chelsea Parlett-Pelleriti.Indeed, Chelsea’s research focuses on using statistics and machine learning on behavioral data, but her more general goal is to empower people to be able to do their own statistical analyses, through consulting, education, and, as you may have seen, stats memes on Twitter.A full-time teacher, researcher and statistical consultant, Chelsea earned an M...
2021-08-301h 13Learning Bayesian Statistics#46 Silly & Empowering Statistics, with Chelsea Parlett-PelleritiYou wanna know something funny? A sentence from this episode became a meme. And people even made stickers out of it! Ok, that’s not true. But if someone could pull off something like that, it would surely be Chelsea Parlett-Pelleriti.Indeed, Chelsea’s research focuses on using statistics and machine learning on behavioral data, but her more general goal is to empower people to be able to do their own statistical analyses, through consulting, education, and, as you may have seen, stats memes on Twitter.A full-time teacher, researcher and statistical consultant, Chelsea earned an M...
2021-08-301h 13
Learning Bayesian Statistics#45 Biostats & Clinical Trial Design, with Frank HarrellAs a podcaster, I discovered that there are guests for which the hardest is to know when to stop the conversation. They could talk for hours and that would make for at least 10 fantastic episodes. Frank Harrell is one of those guests. To me, our conversation was both fascinating — thanks to Frank’s expertise and the width and depth of topics we touched on — and frustrating — I still had a gazillion questions for him!But rest assured, we talked about intent to treat and randomization, proportional odds, clinical trial design, bio stats and covid19, and even which mistakes...
2021-08-101h 08Learning Bayesian Statistics#45 Biostats & Clinical Trial Design, with Frank HarrellAs a podcaster, I discovered that there are guests for which the hardest is to know when to stop the conversation. They could talk for hours and that would make for at least 10 fantastic episodes. Frank Harrell is one of those guests. To me, our conversation was both fascinating — thanks to Frank’s expertise and the width and depth of topics we touched on — and frustrating — I still had a gazillion questions for him!But rest assured, we talked about intent to treat and randomization, proportional odds, clinical trial design, bio stats and covid19, and even which mistakes...
2021-08-101h 08
Learning Bayesian Statistics#44 Building Bayesian Models at scale, with Rémi LoufEpisode sponsored by Paperpile: paperpile.comGet 20% off until December 31st with promo code GOODBAYESIAN21Bonjour my dear Bayesians! Yes, it was bound to happen one day — and this day has finally come. Here is the first ever 100% French speaking ‘Learn Bayes Stats’ episode! Who is to blame, you ask? Well, who better than Rémi Louf?Rémi currently works as a senior data scientist at Ampersand, a big media marketing company in the US. He is the author and maintainer of several open source libraries, including MCX and BlackJAX. He holds a PhD in...
2021-07-221h 15Learning Bayesian Statistics#44 Building Bayesian Models at scale, with Rémi LoufEpisode sponsored by Paperpile: paperpile.comGet 20% off until December 31st with promo code GOODBAYESIAN21Bonjour my dear Bayesians! Yes, it was bound to happen one day — and this day has finally come. Here is the first ever 100% French speaking ‘Learn Bayes Stats’ episode! Who is to blame, you ask? Well, who better than Rémi Louf?Rémi currently works as a senior data scientist at Ampersand, a big media marketing company in the US. He is the author and maintainer of several open source libraries, including MCX and BlackJAX. He holds a PhD in...
2021-07-221h 15
Learning Bayesian Statistics#43 Modeling Covid19, with Michael Osthege & Thomas VladeckEpisode sponsored by Paperpile: paperpile.comGet 20% off until December 31st with promo code GOODBAYESIAN21I don’t know if you’ve heard, but there is a virus that took over most of the world in the past year? I haven’t dedicated any episode to Covid yet. First because research was moving a lot — and fast. And second because modeling Covid is very, very hard.But we know more about it now, so I thought it was a good time to pause and ponder — how does the virus circulate? How can we model it a...
2021-07-081h 22Learning Bayesian Statistics#43 Modeling Covid19, with Michael Osthege & Thomas VladeckEpisode sponsored by Paperpile: paperpile.comGet 20% off until December 31st with promo code GOODBAYESIAN21I don’t know if you’ve heard, but there is a virus that took over most of the world in the past year? I haven’t dedicated any episode to Covid yet. First because research was moving a lot — and fast. And second because modeling Covid is very, very hard.But we know more about it now, so I thought it was a good time to pause and ponder — how does the virus circulate? How can we model it a...
2021-07-081h 22
Learning Bayesian Statistics#42 How to Teach and Learn Bayesian Stats, with Mine DogucuEpisode sponsored by Paperpile: paperpile.comGet 20% off until December 31st with promo code GOODBAYESIAN21We often talk about applying Bayesian statistics on this podcast. But how do we teach them? What’s the best way to introduce them from a young age and make sure the skills students learn in the stats class are transferable?Well, lucky us, Mine Dogucu’s research tackles precisely those topics!An Assistant Professor of Teaching in the Department of Statistics at University of California Irvine, Mine is both an educator with an interest in stat...
2021-06-241h 06Learning Bayesian Statistics#42 How to Teach and Learn Bayesian Stats, with Mine DogucuEpisode sponsored by Paperpile: paperpile.comGet 20% off until December 31st with promo code GOODBAYESIAN21We often talk about applying Bayesian statistics on this podcast. But how do we teach them? What’s the best way to introduce them from a young age and make sure the skills students learn in the stats class are transferable?Well, lucky us, Mine Dogucu’s research tackles precisely those topics!An Assistant Professor of Teaching in the Department of Statistics at University of California Irvine, Mine is both an educator with an interest in stat...
2021-06-241h 06
Learning Bayesian Statistics#41 Thinking Bayes, with Allen DowneyLet’s think Bayes, shall we? And who better to do that than the author of the well known book, Think Bayes — Allen Downey himself! Since the second edition was just released, the timing couldn’t be better!Allen is a professor at Olin College and the author of books related to software and data science, including Think Python, Think Bayes, and Think Complexity. His blog, Probably Overthinking It, features articles on Bayesian probability and statistics. He holds a Ph.D. from U.C. Berkeley, and bachelors and masters degrees from MIT.In this special episod...
2021-06-141h 04Learning Bayesian Statistics#41 Thinking Bayes, with Allen DowneyLet’s think Bayes, shall we? And who better to do that than the author of the well known book, Think Bayes — Allen Downey himself! Since the second edition was just released, the timing couldn’t be better!Allen is a professor at Olin College and the author of books related to software and data science, including Think Python, Think Bayes, and Think Complexity. His blog, Probably Overthinking It, features articles on Bayesian probability and statistics. He holds a Ph.D. from U.C. Berkeley, and bachelors and masters degrees from MIT.In this special episod...
2021-06-141h 04
Learning Bayesian Statistics#40 Bayesian Stats for the Speech & Language Sciences, with Allison Hilger and Timo RoettgerWe all know about these accidental discoveries — penicillin, the heating power of microwaves, or the famous (and delicious) tarte tatin. I don’t know why, but I just love serendipity. And, as you’ll hear, this episode is deliciously full of it…Thanks to Allison Hilger and Timo Roettger, we’ll discover the world of linguistics, how Bayesian stats are helpful there, and how Paul Bürkner’s BRMS package has been instrumental in this field. To my surprise — and perhaps yours — the speech and language sciences are pretty quantitative and computational!As she recently discovered Bayesi...
2021-05-281h 05Learning Bayesian Statistics#40 Bayesian Stats for the Speech & Language Sciences, with Allison Hilger and Timo RoettgerWe all know about these accidental discoveries — penicillin, the heating power of microwaves, or the famous (and delicious) tarte tatin. I don’t know why, but I just love serendipity. And, as you’ll hear, this episode is deliciously full of it…Thanks to Allison Hilger and Timo Roettger, we’ll discover the world of linguistics, how Bayesian stats are helpful there, and how Paul Bürkner’s BRMS package has been instrumental in this field. To my surprise — and perhaps yours — the speech and language sciences are pretty quantitative and computational!As she recently discovered Bayesi...
2021-05-281h 05
Learning Bayesian Statistics#39 Survival Models & Biostatistics for Cancer Research, with Jacki BurosEpisode sponsored by Tidelift: tidelift.comIt’s been a while since we talked about biostatistics and bioinformatics on this podcast, so I thought it could be interesting to talk to Jacki Buros — and that was a very good idea!She’ll walk us through examples of Bayesian models she uses to, for instance, work on biomarker discovery for cancer immunotherapies. She’ll also introduce you to survival models — their usefulness, their powers and their challenges.Interestingly, all of this will highlight a handful of skills that Jacki would try to instill in her studen...
2021-05-1459 minLearning Bayesian Statistics#39 Survival Models & Biostatistics for Cancer Research, with Jacki BurosEpisode sponsored by Tidelift: tidelift.comIt’s been a while since we talked about biostatistics and bioinformatics on this podcast, so I thought it could be interesting to talk to Jacki Buros — and that was a very good idea!She’ll walk us through examples of Bayesian models she uses to, for instance, work on biomarker discovery for cancer immunotherapies. She’ll also introduce you to survival models — their usefulness, their powers and their challenges.Interestingly, all of this will highlight a handful of skills that Jacki would try to instill in her studen...
2021-05-1459 min
Learning Bayesian Statistics#38 How to Become a Good Bayesian (& Rap Artist), with Baba BrinkmanEpisode sponsored by Tidelift: tidelift.comImagine me rapping: "Let me show you how to be a good Bayesian. Change your predictions after taking information in, and if you’re thinking I’ll be less than amazing, let’s adjust those expectations!"What?? Nah, you’re right, I’m not as good as Baba Brinkman. Actually, the best to perform « Good Bayesian » live on the podcast would just be to invite him for an episode… Wait, isn’t that what I did???Well indeed! For this episode, I had the great pleasure of hosting rap artist...
2021-04-301h 27Learning Bayesian Statistics#38 How to Become a Good Bayesian (& Rap Artist), with Baba BrinkmanEpisode sponsored by Tidelift: tidelift.comImagine me rapping: "Let me show you how to be a good Bayesian. Change your predictions after taking information in, and if you’re thinking I’ll be less than amazing, let’s adjust those expectations!"What?? Nah, you’re right, I’m not as good as Baba Brinkman. Actually, the best to perform « Good Bayesian » live on the podcast would just be to invite him for an episode… Wait, isn’t that what I did???Well indeed! For this episode, I had the great pleasure of hosting rap artist...
2021-04-301h 27
Learning Bayesian Statistics#37 Prophet, Time Series & Causal Inference, with Sean TaylorEpisode sponsored by Tidelift: tidelift.comI don’t know about you, but the notion of time is really intriguing to me: it’s a purely artificial notion; we humans invented it — as an experiment, I asked my cat what time it was one day; needless to say it wasn’t very conclusive… And yet, the notion of time is so central to our lives — our work, leisures and projects depend on it.So much so that time series predictions represent a big part of the statistics and machine learning world. And to talk about all that, wh...
2021-04-161h 06Learning Bayesian Statistics#37 Prophet, Time Series & Causal Inference, with Sean TaylorEpisode sponsored by Tidelift: tidelift.comI don’t know about you, but the notion of time is really intriguing to me: it’s a purely artificial notion; we humans invented it — as an experiment, I asked my cat what time it was one day; needless to say it wasn’t very conclusive… And yet, the notion of time is so central to our lives — our work, leisures and projects depend on it.So much so that time series predictions represent a big part of the statistics and machine learning world. And to talk about all that, wh...
2021-04-161h 06
Learning Bayesian Statistics#36 Bayesian Non-Parametrics & Developing Turing.jl, with Martin TrappEpisode sponsored by Tidelift: tidelift.comI bet you already heard of Bayesian nonparametric models, at least on this very podcast. We already talked about Dirichlet Processes with Karin Knudson on episode 4, and then about Gaussian Processes with Elizaveta Semenova on episode 21. Now we’re gonna dive into the mathematical properties of these objects, to understand them better — because, as you may know, Bayesian nonparametrics are quite powerful but also very hard to fit!Along the way, you’ll learn about probabilistic circuits, sum-product networks and — what a delight — you’ll hear from the Julia community! I...
2021-03-301h 09Learning Bayesian Statistics#36 Bayesian Non-Parametrics & Developing Turing.jl, with Martin TrappEpisode sponsored by Tidelift: tidelift.comI bet you already heard of Bayesian nonparametric models, at least on this very podcast. We already talked about Dirichlet Processes with Karin Knudson on episode 4, and then about Gaussian Processes with Elizaveta Semenova on episode 21. Now we’re gonna dive into the mathematical properties of these objects, to understand them better — because, as you may know, Bayesian nonparametrics are quite powerful but also very hard to fit!Along the way, you’ll learn about probabilistic circuits, sum-product networks and — what a delight — you’ll hear from the Julia community! I...
2021-03-301h 09
PodcastLarry BothaOver the past 6 months I’ve had the privilege of chatting with some of the best devs in the industry, learning what makes them tick, how they’ve gotten to where they are, and how they develop their skills. Here's a summary of the some of the biggest takeaways from Season 1.
2018-03-2911 min
Fixate on Code | Weekly interviews on how to write better code, for frontend developers25 - Season 1 FinaleOver the past 6 months Larry Botha has had the privilege of chatting with some of the best devs in the industry, learning what makes them tick, how they’ve gotten to where they are, and how they develop their skills. Here's a summary of the some of the biggest takeaways from Season 1.
2018-03-2911 min
Fixate on Code | Weekly interviews on how to write better code, for frontend developers24 - Chris CoyierChris is the creator of CSS-Tricks, a co-founder of Codepen, and a host on the popular dev podcast, ShopTalk. With Chris’s involvement in making CSS, Javascript, and SVG more accessible to developers, Chris has had a profound impact on both everyone using the web, and everyone building for the web.
2018-03-2231 min
Fixate on Code | Weekly interviews on how to write better code, for frontend developers23 - John AllsoppJohn has been building for the web since the early 90’s. With his timeless article, The Dao of Web Design, his book, Developing with Web Standards, and as co-founder of the Web Directions conference series, John has made a massive impact on the lives of designers and developers the world over.
2018-03-1531 min
Fixate on Code | Weekly interviews on how to write better code, for frontend developers22 - Rachel NaborsRachel is an award-winning cartoonist and graphic novelist who now cuts her teeth as an expert on web animations. With her webanimationweekly.com newsletter and slack.animationatwork channel, courses on Lynda.com and Frontend Masters, and her latest book, Animation At Work, Rachel is an authority on improving user experience through using motion on the web.
2018-03-0827 min
Fixate on Code | Weekly interviews on how to write better code, for frontend developers21 - Ada Rose CannonAda is a developer advocate and senior developer at Samsung. Previously a PlayStation developer, Ada now dedicates her time to pushing the limits of WebVR, and experimenting with client-side APIs.
2018-03-0128 min
Fixate on Code | Weekly interviews on how to write better code, for frontend developers20 - Aimee KnightBefore becoming a full-stack Javascript developer, Aimee spent 15 years as a competitive figure skater. The grit and hard work required for her former career has made Aimee a force in the web development world. With her work on the JsJabber podcast, creating developer meetups, and speaking on stage, Aimee is passionate about helping junior developers make careers for themselves.
2018-02-2222 min
Fixate on Code | Weekly interviews on how to write better code, for frontend developers19 - David KhourshidDavid works on Microsoft's Visual Studio Live Share, a service that enables developers from anywhere in the world to collaboratively code, debug, and more from the comfort of their own Visual Studio or Visual Studio Code editors.
2018-02-1522 min
Fixate on Code | Weekly interviews on how to write better code, for frontend developers18 - Jeremy KeithJeremy is the founder of ClearLeft - a passionate group of UX and digital strategists based in the UK - where Jeremy now heads research and development. He is the author of a number of books on web development, including his latest book, Resilient Web Design, has been seen on stages like An Event Apart and South By South West, and is also the creator of the world’s first Science Hack Day!
2018-02-0848 min
Fixate on Code | Weekly interviews on how to write better code, for frontend developers17 - Jake ArchibaldJake is a developer advocate for Google Chrome where he speaks regularly about Service Worker, application performance, and offline-first apps. Before joining the team at Google, Jake worked at Lanyrd honing his performance skills, and before that worked at the BBC creating an inclusive experience for users with disabilities.
2018-02-0147 min
Fixate on Code | Weekly interviews on how to write better code, for frontend developers16 - Kent C DoddsKent is a one-man JavaScript task force! While working at PayPal, Kent creates a lot of open source projects like Downshift and Glamorous, and makes contributions to Webpack, Babel, and ReactJS, to name just a few.
In addition to his open source work, Kent created the Angular Air and JavaScript Air podcasts, runs a short podcast called 3 minutes with Kent, and writes about Javascript on a weekly basis on his blog and newsletter.
Kent is an instructor on both Egghead.io and Frontend Masters, is a Google Developer Expert, and represents PayPal on the TC39...
2018-01-2529 min
Fixate on Code | Weekly interviews on how to write better code, for frontend developers15 - Luke WestbyLuke, a serial open-source contributor, and partner at HumbleSpark in Chicago, has a burning passion for Elm. Luke is also the creator of Ellie - The In-Browser Live Editor for Elm! When not speaking at conferences around the world, and producing audio and video, Luke can be found discussing Elm with the ever-expanding community.
2018-01-1818 min
Fixate on Code | Weekly interviews on how to write better code, for frontend developers14 - Juho VepsalainenJuho is the creator of SurviveJS - a project that promises to take you from apprentice to master in both ReactJS and Webpack. On top of that, Juho is also a core contributor to Webpack! When not writing books or code, Juho can be found on stage at conferences around Europe, having already added KharkivJS, HelsinkiJS, Web Dev And Sausages, and ReactJS Barcelona to the notches on his belt.
2018-01-1114 min
Fixate on Code | Weekly interviews on how to write better code, for frontend developers13 - Tereza SokolTereza is a front-end developer obsessed with the Elm language. NoRedInk, a platform helping millions of students learn how to write, nabbed her after spotting her skills. Tereza is also the creator of Elm Plot - a graph plotting library built in Elm.
2018-01-0425 min
Fixate on Code | Weekly interviews on how to write better code, for frontend developers12 - Peter MüllerPeter is a Corporate Entrepreneur at MobileLife, the innovation hub of Danske Bank in Copenhagen. Peter helps maintain Assetgraph, an optimisation framework for web pages and applications, and is also a core contributor to MochaJS. On top of that, Peter was also involved in organising CopenhagenJS, a monthly meetup for lovers of all things javascript.
2017-12-2820 min
Fixate on Code | Weekly interviews on how to write better code, for frontend developers11 - Ruth JohnRuth loves creating art with code, and spreading the love for MIDI! She’s also a serial conference speaker, a skilled wielder of the Web Audio API, and leverages her skills as a developer for VJing. If you haven’t visited Ruth’s codepen and experienced her awesome audio visual pens, what are you waiting for?!
2017-12-2121 min
Fixate on Code | Weekly interviews on how to write better code, for frontend developers10 - Kyle SimpsonKyle has a simple recipe for developer success: understand the problem before you try to fix it. With Kyle's widely read "You Don't Know JS" book series, learning JavaScript more deeply is something every developer can and should take on as a challenge. Not only is Kyle an author, but also a teacher, speaker, and chronic contributor to the world of open source software. Kyle offers corporate training workshops for JavaScript and is currently working on a new startup to take developer education to the next level.
2017-12-1452 min
Fixate on Code | Weekly interviews on how to write better code, for frontend developers9 - Anjana VakilAnjana is a philosophy major and English teacher turned computational linguistics aficionado. After completing graduate studies in speech technology, machine learning, and computer assisted language learning, Anjana joined the engineering team at UberResearch in Germany, where she is implementing a query language that interfaces with scientific research funding data.
2017-12-0728 min
Fixate on Code | Weekly interviews on how to write better code, for frontend developers8 - Jonathan SnookJonathan is the creator of the influential SMACSS methodology for writing scalable and modular C-S-S. He has worked his magic at Xero, Yahoo!, and Shopify, and has appeared on stage at conferences such as Generate, CSSConf, and the Smashing Conference. With 3 highly-acclaimed books, Jonathan has - a - knack for influencing devs around the world and earning the respect of the top people in the industry.
2017-11-3022 min
Fixate on Code | Weekly interviews on how to write better code, for frontend developers7 - Harry RobertsHarry Roberts is a heavy-weight in the world of front-end architecture. While working at Sky, Harry began developing approaches to writing manageable and scalable CSS, revolutionising the way people think about front-ends. Harry now consults for a long list of companies like Google, The UN, The BBC, and Deloitte.
2017-11-2328 min
Mr Frontend PodcastMr Frontend Podcast #5: VueJS Conference, Frontend Love Conference, Web Development newsEvery fifth episode of the Mr Frontend Podcast is gonna be a visual one! In this episode, I will talk about the new Mr Frontend Online Class, Frontend Love Conference, VueJS Conference and some cool Web Development new from these past weeks!
You can also listen to this podcast on Youtube (https://www.youtube.com/watch?v=YyGbKnNuQAQ) or iTunes (https://itunes.apple.com/us/podcast/mr-frontend-community/id1271838550?mt=2)!
[MR FRONTEND ONLINE CLASS]
This program includes:
- Every 4 weeks we plan an Online Class session via Video.
- We are going in-depth with HTML, CSS, JavaScript, Tooling and a whole...
2017-11-1732 min
Fixate on Code | Weekly interviews on how to write better code, for frontend developers6 - Sara SoueidanSara is a freelance front-end web developer, author, and speaker from Lebanon. She was named Developer of the Year in the 2015 .net magazine awards, and awarded a Web Platform Award from O’Reilly. Sara is the author of Codrops CSS Reference, and is the co-author of Real-Life Responsive Web Design, which focuses on smart “responsive” workflows, effective UX patterns, and powerful front-end techniques.
2017-11-1627 min
Fixate on Code | Weekly interviews on how to write better code, for frontend developers5 - Amjad MasadAmjad is the CEO and founder of repl.it, a simple and reliable cloud coding interface supporting more than 30 languages; built to assist teachers in the classroom, and make prototyping painless for software engineers. Amjad was also tech lead on the Javacript infrastructure team at Facebook, worked at Codecademy at its founding stages, and even spent some time at Yahoo! before that. On top of that, Amjad is also a core contributor to BabelJS and ReactNative.
2017-11-0948 min
Fixate on Code | Weekly interviews on how to write better code, for frontend developers4 - Christian HeilmannChris works at Microsoft on the Edge team, heading developer experience and evangelism. Prior to Microsoft, Chris helped push HTML5 support forward at Mozilla, and before that was a front-end architect at Yahoo! where he helped build products and train other Yahoo!ers. Beyond that, Chris has been seen dozens of times giving talks at conferences all around the world, has been involved in writing a number of books, and has contributed to most every major web development blog or publication you can think of - all in the name of making the web better.
2017-11-0238 min
Fixate on Code | Weekly interviews on how to write better code, for frontend developers3 - Safia AbdallaSafia works independently, making an impact on businesses with her skills in data analysis, front-end development, and technical writing. Safia is a serial open source contributor, and is the creator of Legit - a command line tool to make adding licenses to projects and files a cinch. On top of that, Safia is a regular speaker at dev conferences.
2017-10-2434 min
Fixate on Code | Weekly interviews on how to write better code, for frontend developers2 - Brian LonsdorfBrian is the lead user experience engineer at Salesforce. More importantly, Brian is the first person in history to leverage highly educated stop-motion hedgehogs to make functional programming accessible to javascript developers! He is a regular speaker at conferences, an author, a podcast host, and a teacher who has a knack for making complicated content fun to learn.
2017-10-2431 min
Fixate on Code | Weekly interviews on how to write better code, for frontend developers1 - Garth BraithwaiteGarth is a designer and developer with a passion for all things open source. He is a front-end developer on Adobe’s PhoneGap team and has appeared as a speaker on conference stages across the world. When he’s not busy at Adobe, he spends his time discussing the power of design and how to improve designer / developer collaboration.
2017-10-1726 min