Glen Wright Colopy - Podcast Details

Shows

Data & Science with Glen Wright ColopyKeith O’Rourke | The Logic of StatisticsKeith O'Rourke | The Logic of Statistics Dr. Keith O'Rourke talks about the logical reasoning behind statistical modeling. Topics include mathematical vs scientific reasoning, whether science has become too stats focused, and vice versa. Watch it on... Youtube: https://youtu.be/FqE4ROHBKpY Podbean: https://dataandsciencepodcast.podbean.com/e/keith-o-rourke-the-logic-of-statistics/ Topic List: 0:00 - The logic of statistics 0:30 - What is scientific statistics? 5:15 - The logic of statistics and CS Pierce 9:15 - Role of representation in statistics: explicit vs implicit 14:13 - Diagrammatic Reasoning 18:45 - W...2022-08-021h 13

Data & Science with Glen Wright ColopyJack Fitzsimons | Evil Models: Hiding Malware in Neural NetworksJack Fitzsimons | Evil Models: Hiding Malware in Neural Networks Did you know that it's possible to hide malware in neural networks? Actually, you can hide malware in many statistical models. This is the subject of two recently-published papers (aptly titled "EvilModel" & "EvilModel 2.0"). Dr. Jack Fitzsimons makes it easy to understand how this is done, using techniques that began long before computers. Watch or listen on... Youtube: https://youtu.be/QBnk8ogL8Nk Podbean: https://dataandsciencepodcast.podbean.com/e/jack-fitzsimons-evil-models-hiding-malware-in-neural-networks/ 2022-07-2651 min

Data & Science with Glen Wright ColopyScott Cunningham | Causal Inference (The Mixtape)Scott Cunningham | Causal Inference (The Mixtape) Scott Cunningham (Baylor University) discusses the ideas of his book "Causal Inference: The Mixtape". Topics include trusting inference in the absence of counterfactuals and the challenges of apply scientific methods to social phenomena. Watch it on... YouTube: https://youtu.be/yNaCudDVTkY Podbean: https://dataandsciencepodcast.podbean.com/e/scott-cunningham-causal-inference-the-mixtape/ 0:00 - COMING UP... 0:35 - What makes it into the mixed tape? 7:10 - Coding to learn 11:15 - More people are expected to work with data & code 12:50 - Design vs program vs estimators 20:40 - Causation w...2022-07-181h 20

Data & Science with Glen Wright ColopyEric Daza | Important Ideas in Causal Inference Eric Daza | Important Ideas in Causal Inference YouTube: https://youtu.be/K5nsSMJVIT0 Andrew Gelman and Aki Vehtari wrote a paper titled, "What are the most important statistical ideas of the past 50 years?". The first idea in the list is "counterfactual causal inference". Eric Daza (Evidation Health) walks us through the main ideas of the Gelman & Vehtari paper, drawing examples from several fields, including medical & healthcare statistics. Topics 0:00 - Coming up...Correlation vs Causation 1:20 - Most important statistical ideas over the last 50 years 6:10 - Counterfactual Causal Inference 2022-07-111h 23

Data & Science with Glen Wright ColopyWenting Cheng & Weidong Zhang | Advances in Biotech/BiopharmaWenting and Weidong discuss how the statistical challenges in the biopharm industry have proliferated with the unique demands of biotech and related life science industries. 2022-05-1034 min

Data & Science with Glen Wright ColopyRuda Zhang | Gaussian Process Subspace RegressionRuda Zhang | Gaussian Process Subspace Regression Ruda Zhang (Duke University) walks us through "Gaussian Process Subspace Regression for Model Reduction" by Zhang, Mak, and Dunson. To keep the topic interesting for both the early career & advanced audience we recap key points at a high level so that no one gets lost. This episode involves a presentation, so you may prefer to watch the YouTube version here: https://youtu.be/IPtqUUG4XcY Ruda's website: https://ruda.city/ The paper: https://arxiv.org/abs/2107.04668 2022-05-101h 09

Data & Science with Glen Wright ColopyRuda Zhang | Math-Science DualityRuda Zhang | Math-Science Duality Watch it on... Youtube: https://youtu.be/GoDwen-RGZg Podbean: https://dataandsciencepodcast.podbean.com/e/ruda-zhang-math-science-duality/ Statistics is thought to reside at the interface of science and mathematics. Ruda Zhang (Duke University) discusses the friction at this interface and the role that both mathematical formalism & observational/data-driven intuition play in scientific discovery. A great topic for anyone interested in statistics' role in scientific discovery. #datascience #ai #science #mathematics Topic List 00:00 COMING UP... 2:44 Ruda Zhang's compendium of cool ideas + a Gaussian process PSA 7:08...2022-04-141h 22

Data & Science with Glen Wright ColopySimon Mak | Integrating Science into Stats ModelsSimon Mak | Integrating Science into Stats Models #statistics #science #ai It’s a common dictum that statisticians need to incorporate domain knowledge into their modeling and the interpretation of their results. But how deeply can scientific principles be embedded into statistical models? Prof. Simon Mak (Duke University) is pushing this idea to the limit by integrating fundamental physics, physiology, and biology into both the models and model inference. This includes Simon’s joint work with Profs. David Dunson and Ruda Zhang (also of Duke University). Scientific reasoning AND stats. What more could we ask for...2022-04-061h 19

Data & Science with Glen Wright ColopyMartin Goodson | Practical Data Science & The UK’s AI RoadmapMartin Goodson | Practical Data Science & The UK's AI Roadmap #ai #datascience #startups Martin Goodson (Evolution AI) describes the key aspects of the UK's AI Roadmap & responses to the document by members of the Royal Statistical Society. In particular, Martin describes the disconnect between the priorities of AI startups and industry practitioners on one side, and government and academia on the other. Martin also outlines which skills early career data scientists should focus on while in school versus after entering the workforce. Also available on.... YouTube: https://youtu.be/T9qRl6Hclhg 2022-03-161h 16

Data & Science with Glen Wright ColopyJack Fitzsimons | Data Security, Privacy, & Artificial IntelligenceDr. Jack Fitzsimons (Oblivious AI) gives a high-level introduction to the technologies that can either exploit or protect your data privacy. If you'd like to survey the landscape of data privacy-preserving technologies (from someone who's building the tech) this is a good place to start! #datascience #privacy #ai 0:00 - Coming up... 3:24 - Introduction 6:20 - Data privacy and privacy enhancing technologies 13:00 - History of privacy enhancing technologies 19:54 - Differential privacy: Hiding the influence of a single data point 22:52 - Trading data utility for data privacy 38:32 - Tracking algorithms an...2022-03-011h 14

Data & Science with Glen Wright ColopyChris Tosh | The piranha problem in statisticsThe piranha problem (too many large, independent effect sizes influence the same outcome) has received some attention on Andrew Gelman’s blog. But now it’s a paper! Chris Tosh (Memorial Sloan Kettering) talks about multiple views of the piranha problem and detecting the implausible scientific claims that are published. The butterfly effect makes an appearance. If you enjoyed the science-vs-pseudoscience topics, you’ll enjoy this one. 0:00 - Coming up in the episode 2:35 - What is the Piranha Problem? 19:54 - Confusing effect sizes 23:11 - The "words & walking speed" st...2022-02-221h 09

Data & Science with Glen Wright ColopyChris Holmes | AI, Digital Health, & The Alan Turing InstituteChris Holmes is Professor of Biostatistics at the University of Oxford and Programme Director for Health and Medical Sciences at The Alan Turing Institute. Chris’ research interests include Bayesian nonparametrics (which is the right kind of nonparametrics), statistical machine learning, genomics, and genetic epidemiology. 0:00 - Intro 1:38 - Chris Holmes, Professor of Biostatistics at Oxford University 3:28 - UK Biobank & designing a valuable dataset 8:42 - Healthcare charities in the UK 11:16 - Digital Health: prioritizing research questions 19:55 - Bayes, nonparametrics, and Bayesian nonparametrics 23:30 - Model prediction is at the heart of Bayesian inference 28:00...2022-02-091h 03

Data & Science with Glen Wright ColopyPhilosophy of Data Science | Deborah Mayo | Revolutions, Reforms, and Severe Testing in Statistical ThinkingPhilosophy of Data Science Series Keynote with Deborah Mayo Episode 1: Revolutions, Reforms, and Severe Testing in Statistical Thinking In the first keynote of the Philosophy of Data Science Series we have a 2-part interview with Deborah Mayo (Virginia Tech). In the first part of our keynote with Deborah Mayo we cover... - The role of scientific revolution and its implications for statistics and data scientist. - The necessity of statistical reforms and why philosophy will play a role. - The value of severe testing of scientific claims. Watch i...2022-02-0453 min

Data & Science with Glen Wright ColopyCharlotte Deane | Bioinformatics, Deepmind’s AlphaFold 2, and LlamasCharlotte Deane | Bioinformatics, Deepmind's AlphaFold 2, and Llamas #datascience #ai Charlotte Deane (Oxford University) talks about statistical approaches to bioinformatics, the evolution of Google Deepmind's AlphaFold 2 & its place in protein informatics deep learning landscape. She also describes humanizing antibodies, and the increasing role of software engineers in statistical research groups. The topic of llamas, camels, and alpacas (and their unique place in proteomics research) makes a surprise visit. [Note: This episode was originally published in January 2022, but the file contained a buffering error, which prevented the full interview from being played. This version, published Feb 1, 2022...2022-02-011h 16

Data & Science with Glen Wright ColopyCharlotte Deane | Proteomics, AlphaFold 2, and LlamasCharlotte Deane | Proteomics, AlphaFold 2, and Llamas #datascience #ai Charlotte Deane (Oxford University) talks about statistical approaches to proteomics, the evolution of Google Deedmind's AlphaFold 2 & its place in proteomics' deep learning landscape, humanizing antibodies, and the increasing role of software engineers in research groups. The topic of llamas, camels, and alpacas (and their unique place in proteomics research) make a surprise visit. Topics 0:00 Intro / An important topic to debate 3:50 What is a protein? Why are proteins foundational? 13:32 Immunotherapies, humanizing antibodies, & creating an scientific databases 16:04 Translating in silico research into immunotherapies 21:03 Nanobodies, camels, alpacas, & llamas. 25:05:00 Databases and d...2022-01-241h 16

Data & Science with Glen Wright ColopyEric Schwitzgebel | Consciousness, Zombies, & First Person Data | Philosophy of Data ScienceThe philosophical community continuously aims to reconcile differing views on first person data and the consciousness of the mind. Is it possible to live without consciousness? Can one conceive thoughts without matching images to them? In this episode, Eric Schwitzgebel of the University of California tries to dissect such topics and questions to help us better understand the philosophical world. Keywords: philosophy, epistemic data, first person data, stimulus error, imageless thought, consciousness 2021-12-021h 13

Data & Science with Glen Wright ColopyStarting a Statistics Consultancy | Janet WittesStarting a Statistics Consultancy | Janet Wittes The following interview was a keynote fireside chat with Janet Wittes (Statistics Collaborative, Inc.) titled "Statisticians as Entrepreneurs". It was recorded for the BBSW 2021 Conference (Nov 3 - 5 in Foster City, CA). References: BBSW 2021 Conference: https://www.bbsw.org/bbsw2021 Topics: 0:00 Janet's background prior to founding Statistics Collaborative, Inc. 3:00 Janet's initial research interest as a consultant 4:10 Why did Janet start her own business as opposed to joining a company or university. 5:45 Who were Janet's first clients? 8:00 What did Ja...2021-11-2238 min

Data & Science with Glen Wright ColopyPhilosophy of Data Science | Jingyi Jessica Li | Advancing Statistical GenomicsJingyi Jessica Li | Advancing Statistical Genomics Watch it on…. YouTube Podbean Jingyi Jessica Li (UCLA) describes common statistical pitfalls in genomic data analysis & the statistical reasoning required to correct these mistakes. Common themes throughout include: Hypothesis-driven science & critical scientific reasoning over data p-values and non-sensical null hypotheses/distributions the value of appearing statistically rigorous researchers cutting intellectual corners & digging themselves into local minima Episode Topics 0:00 A major advancement in genomic data leads to new statistical techniques 2:15 Hypothesis-driven science & hypothesis-free data analysis 2:55 A ChIP Seq Example 2021-11-161h 22

Data & Science with Glen Wright ColopyMine Çetinkaya-Rundel | Advancing Open Access Data Science EducationMine Çetinkaya-Rundel | Advancing Open Access Data Science Education #datascience #statistics #education Mine Çetinkaya-Rundel (Duke University) describes the current and future states of statistics and data science education. Then she discusses the process of building open access learning material. 0:00 - Introduction 1:40 - Prioritizing topics in curricula 9:07 - Teaching with intent to test 11:22 - Statistics without computing 17:52 - What should be taught? How do we teach it? 19:07 - Computational thinking is valuable (to 31:45) 23:47 - Self reinforcing academics / positive feedback (to 31:45) 31:08 - Data science vs statistics (the computing ang...2021-11-091h 20

Data & Science with Glen Wright ColopyJingyi Jessica Li | Statistical Hypothesis Testing vs Machine Learning Binary ClassificationJingyi Jessica Li | Statistical Hypothesis Testing versus Machine Learning Binary Classification Jingyi Jessica Li (UCLA) discusses her paper "Statistical Hypothesis Testing versus Machine Learning Binary Classification". Jingyi noticed several high-impact cancer research papers using multiple hypothesis testing for binary classification problems. Concerned that these papers had no guarantee on their claimed false discovery rates, Jingyi wrote a perspective article about clarifying hypothesis testing and binary classification to scientists. #datascience #science #statistics 0:00 – Intro 1:50 – Motivation for Jingyi's article 3:22 – Jingyi's four concepts under hypothesis testing and binary classification 8:15 – Restatement of concepts 12:25 – Emulating m...2021-09-2055 min

Data & Science with Glen Wright ColopyGualtiero Piccinini | What Are First-Person Data? | Philosophy of Data ScienceGualtiero Piccinini | What Are First-Person Data? First-person methods (and its associated data) have been scientifically and philosophically contentious. Are they pseudoscientific? Or simply pushing the bounds of scientific methodology? Obviously, I have no idea… so Prof. Gualtiero Piccinini (University of Missouri – St. Louis) provides a helpful introduction to the topic covering the key points of its history and the philosophical/scientific debate. 0:00 Why cover first-person methods & data? 2:26 First-person methods vs first-person data? 7:10 Are first-person data legitimate at all? 11:50 Phenomenology 13:26 First-person data is extracted from human behavior 18:25 Skepticism & arguments against first-person data...2021-08-3051 min

Data & Science with Glen Wright ColopyDavid Dunson | Advancing Statistical Science | Philosophy of Data ScienceDavid Dunson | Advancing Statistical Science | Philosophy of Data Science Series A fundamental question in the philosophy of science is "what does it mean to make scientific progress?" We will have a series of episodes centered around this question for statistics and data science. In our first episode in the series, David Dunson (Duke University) discusses important advances in Bayesian analysis, big data, uncertainty, and scientific discovery. Topic Timestamps 0:00 Intro to David Dunson 1:54 What does it mean to advance data science and statistics? 6:14 Industry & Optimization, Science & Uncertainty 8:14 Prediction & Discovery / Bayesian Modeling 14:13 What...2021-08-171h 17

Data & Science with Glen Wright ColopyMartin Kuldorff | Spatiotemporal Models of Disease OutbreaksNote: This conversation was recorded June 25, 2021. Martin Kuldorff | Spatiotemporal Models of Outbreaks Martin Kuldorff (Harvard Medical School) talks about the integration of biological & demographic information (and general reality) in the spatiotemporal models used to detect disease outbreaks. He also discusses how these methods can be applied to non-infectious diseases like cancer. 0:00 - Spatio-temporal modeling of outbreaks 6:02 - Important features of spatio-temporal outbreak models 12:20 - Which diseases wouldn't you track for modeling? 19:02 - Multiple comparison adjustments of alarms 25:15 - Domain knowledge of outbreak features 29:30 Competing hazards & risks 34:30 Comparing hemispheres 2021-08-031h 08

Data & Science with Glen Wright ColopyJason Costello | Data Science vs Software, Academia vs IndustryInterested in Data Science? Learn Data Science and Statistics from experts as they cover key topics in the field. The Data & Science podcast focusses on teaching data scientists how to think critically in order to solve data analysis problems across various scientific domains. Jason Costello | Data Science vs Software, Academia vs Industry Jason Costello (Hypervector) describes his (non-trivial) transition from academic research into big tech and then the healthcare industry. He outlines a strategy to find the cool research problems that you get in academia while still delivering value to your company. We then talk a...2021-07-191h 08

Data & Science with Glen Wright ColopyEric Daza | N-of-1 Science & Causal Inference | Philosophy of Data ScienceInteresting in Data Science? Learn Data Science and Statistics from experts as they cover key topics in the field. The Data & Science podcast focusses on teaching data scientists how to think critically in order to solve data analysis problems across various scientific domains. Eric Daza | N-of-1 Science & Causal Inference | Philosophy of Data Science Much of our scientific inference revolves around the identification and replication of patterns in data. So what can be done when N=1? Eric Daza gives us a statistician's perspective on the ideas behind N-of-1 studies, its best examples, and strongest c...2021-06-141h 12

Data & Science with Glen Wright ColopyEdward McFowland III | Anomalous Pattern Detection & Model Building#datascience #statistics Edward McFowland III | Anomalous Pattern Detection & Model Building Edward McFowland III (Harvard Business School) describes the differences between "anomalies" and "anomalous patterns". Edward describes how this informs modeling strategies, in particular, when to use an off-the-shelf model versus building a bespoke model from scratch. He then covers how to draw inspiration from different scientific and technical fields. 0:00 Edward: Live in Conference 2:00 Outliers vs Anomalies vs Anomalous Patterns 9:30 Strategy to Identify Anomalous Data Patterns 19:15 Adding Complexity to Models 25:00 Building Blocks vs Comprehensive Models 2021-06-011h 02

Data & Science with Glen Wright ColopyData Science Job Search | Advice + Q&A#datascience #jobs #career #jobsearch #statistics The Statistical Consulting Section of the ASA invited me to give a presentation on the data science job search followed by a Q&A. They were kind enough to let me post it here (with minor edits). My drawing of "cumulative cost" is wrong. It should intercept the "current cost" line at time = 0. 0:00 – Humility, Goals, & Human Data Points 5:00 – Play the Numbers Game 12:40 – Job vs Career 18:18 – Nonsensical Data Science Job Descriptions 25:40 – Technical Review & Presentation 30:00 – The Advantages of Early Career 37:25 – Save Job Descri...2021-05-261h 30

Data & Science with Glen Wright ColopyMike Evans | Statistical Reasoning & Evidence | Philosophy of Data Science SeriesMike Evans | Statistical Reasoning & Evidence | Philosophy of Data Science Series Mike Evans (University of Toronto) describes his approach to statistical reasoning. Mike outlines how to recognize and address problems that are statistical in nature and why these approaches should be grounded in our ability to measure statistical evidence. Watch it on YouTube at: https://youtu.be/Q7JpGZxHxXU 0:00 Statistical Reasoning 2:30 The Basic Problem: Reasoning on Statistical Problems 13:00 Rules of Statistical Inference 19:30 Bias (The Controversial Bit?!?!) 24:10 Steps of Statistical Reasoning 25:50 Connection to Philosophy of Science...2021-05-191h 09

Data & Science with Glen Wright ColopyDeborah Mayo | Statistics & Severe Testing vs PseudoscienceDeborah Mayo | Statistics & Severe Testing vs Pseudoscience Watch it on… YouTube Podbean In our fourth episode of the “science vs pseudoscience” mini-series, Deborah Mayo (Virginia Tech) specifies several necessary criteria to be scientifically rigorous. She gives several examples of how statistical thinking is essential to scientific thinking and why she believes that the “I’ll know it when I see it” approach to delineating science from pseudoscience is not a good approach. Looking to catch up with the earlier “Science vs Pseudoscience” episode? You can watch them here: Intro Episode...2021-05-131h 35

Data & Science with Glen Wright ColopyKristin Morgan | The Data Science of Sports InjuryDescription: In the world of biomechanics, engineers continuously aim to innovate and create new models for better understanding of their research. In this episode, Kristin Morgan (University of Connecticut) returns to the show as she explains how they use gait as a form of diagnostic tool in maximizing human performance. Having experiences on sports herself, Morgan presents how they use gait to measure recovery from physical impairment, specifically for ACL-related injuries. Aside from this, however, she also explains how they use the same tool to measure recovery from cognitive impairment. An insightful episode for all! K...2021-05-101h 10

Data & Science with Glen Wright ColopyMichael McRoberts | Football Analytics and Data-Driven DecisionsMichael McRoberts | Football Analytics and Data-Driven Decisions Michael McRoberts (Championship Analytics Inc.) uses Monte Carlo simulations to provide strategy analytics to college and NFL football teams. Topics include communicating data-driven recommendations, the need to create counterfactual data, and asymmetric decision rewards. 0:00 The challenge of sports analytics 5:00 Analytics recommendations 16:00 Communicating data-driven recommendations 24:35 Vegas Odds & Ancillary Data 30:00 Football is way behind / Data science projects with a "runway" 41:25 Creating experiments and counterfactuals 49:30 Implementing data science insights 56:15 Asymmetric decision rewards ...2021-05-051h 14

Data & Science with Glen Wright ColopyAndrew Gelman & Megan Higgs | Statistics’ Role in Science and PseudoscienceAndrew Gelman & Megan Higgs | Statistics' Role in Science and Pseudoscience #datascience #statistics #science #pseudoscience Our science vs pseudoscience discussion continues with Andrew Gelman (Columbia) and Megan Higgs (Critical Inference LLC). Andrew and Megan describe two critical roles that statistics plays in science.... but also how statistics can add the air of scientific rigor to bad research or help statisticians fool themselves. From there the conversation goes on in a way that only a conversation with Andrew and Megan can! A very fun episode. 0:00 - Two roles of sta...2021-04-301h 11

Data & Science with Glen Wright ColopyIrina Gaynanova | Replicability, Reproducibility, Responsibility, and Optimism for the Future of ScienceIrina Gaynanova (Texas A&M) describes why she thinks that replicability is a prerequisite for reproducibility in science and how scientists can (personally) start improving the replicability of research. We also discuss how the concepts of replicability/reproducibility can differ according to the domain-specific context and the methods used. Please forward to any students or colleagues who would find this of interest! 2021-04-271h 02

Data & Science with Glen Wright ColopyScience vs Pseudoscience | Neil Manson | Philosophy of Data Science#datascience #science #pseudoscience #criticalthinking #reasoning We each like to think of ourself as scientific. I'm yet to meet someone who would embrace being called "pseudoscientific". But what makes the difference? In this episode, Neil Manson talks about the fallout from Thomas Kuhn's 1962 book "The Structure of Scientific Revolutions" and how this created a playbook for many modern critiques/attacks on scientific activity. We have a new series that centers on the discussion of science vs. pseudoscience. Guests of different backgrounds share their insights on what really constitutes science and the highly-contested pseudoscience. The implications for d...2021-04-191h 15

Data & Science with Glen Wright ColopyScience vs Pseudoscience | Dien Ho | Philosophy of Data ScienceWe have a new series that centers on the discussion of science vs. pseudoscience. Guests of different backgrounds share their insights on what really constitutes science and the highly-contested pseudoscience. In today’s episode, we talk to Professor Dien Ho, PhD, a Professor of Philosophy and Healthcare Ethics, of the Massachusetts College of Pharmacy & Health Science University. Discover how philosophical ideas and theories are applied in hopes of understanding what really counts as science and what pseudoscience really is. 00:03 - Introductions 5:33 - What is pseudoscience? 08:53 - Legitimacy of other sciences 12:11 - What qua...2021-04-0858 min

Data & Science with Glen Wright ColopyNew Science vs Pseudoscience Series (+ Renaming the Podcast)We're launching a series on "Science vs Pseudoscience" tomorrow! Also we've rebranded to better reflect the focus of the podcast. The focus of the podcast isn't changing - it's still data science, critical scientistic reasoning, and figuring out how to figure stuff out! Some fun reading on pseudoscience: https://philpapers.org/archive/MONP-1... 2021-04-0705 min

Data & Science with Glen Wright ColopyEnvironmental Data Science | Career Q&AWe've received a lot of questions from early career data scientists interested in starting a career in environmental science and climate science. Elizabeth Mannshardt (EPA), Grant Weller (Optum Labs), and Megan Higgs (Critical Inference LLC) sit down to give you your answers! Thinking about a career change to Environmental Data Science? We invite you to listen to some career growth strategies and opportunities in environmental data science” podcast. Throughout the episode we discuss how to transition from other careers to an environmental data scientist. How to get quantitative skills in order to switch to...2021-03-111h 14

Data & Science with Glen Wright ColopyData Science Career Q&A for Undergrads#datascience #career #job Data Science Career Q&A for Undergrads with Mallory LaRusso We continue to answer data science career questions. We've heard back from a lot of different groups about the world of data science. In this episode, we're talking about undergraduate DS job prospects. Mallory LaRusso is a senior at NCSU finishing her BS in Statistics, and Minor in Genetics. Watch/Listen as Glen and Richard answer questions from our guest Malory as she tries to understand ways of how to properly transition from being an undergrad student to becoming a data scientist...2021-02-251h 42

Data & Science with Glen Wright ColopyPhilosophy of Data Science | Step-change and Anomaly Detection | Alex Bolton#datascience #ai #earlycareer Philosophy of Data Science Series Session 3: Data Science Highlight Reel Episode 4: Alex Bolton on Step-change and Anomaly Detection Who makes it into the highlight reel of data science? Alex Bolton for doing the hard work of analyzing data to figure out exactly when things don't look "normal". We discuss the critical reasoning behind step-change detection and anomaly/novelty detection. Alex provides several real-world examples of the data and challenges. Watch it on... YouTube: https://www.youtube.com/watch?v=097FO1JDkhU Podbe...2021-02-1659 min

Data & Science with Glen Wright ColopyIrina Gaynanova | Replicating Clinical Metrics & Innovating New MethodsPhilosophy of Data Science Series Session 3: Data Science Highlight Reel Episode 2: Irina Gaynanova on Replicating Clinical Metrics & Innovating New Methods Who makes it into the highlight reel of data science? Irina Gaynanova for her work on replicating clinical metrics for deployment. She then goes into how her grasp of the scientific domain helps her innovate new methods and metrics. Regardless of whether you work in the clinical domain, this is an example of rigorous scientific thinking in data science. We're always happy to hear your feedback and ide...2021-02-081h 12

Data & Science with Glen Wright ColopyKarel Moons | Validating Medical Predictive Models | Philosophy of Data Science Philosophy of Data Science Series Session 3: Data Science Highlight Reel Episode 2: Karel Moons on Validating Medical Predictive Models Watch it on... YouTube: https://www.youtube.com/watch?v=Y6Qik_5hZog Podbean: Who makes it into the highlight reel of data science? Karel Moons and the classic BMJ Series on validating predictive/prognostic models for the clinic. You can start reading the BMJ Series for your self here: [1] https://www.bmj.com/content/338/bmj.b375 [2] https://www.bmj.com/content/338/bmj.b604 [3] https://www.bmj.com/content/338/bmj.b605 [4] https://www.bmj.com/content/338/bmj.b606 You can join our mai...2021-01-211h 08

Data & Science with Glen Wright ColopyPhilosophy of Data Science | S3 E1 | NeuralNets, GANs, Causality, and MedicinePhilosophy of Data Science Series Session 3: Data Science Highlight Reel Episode 1: Adler Perotte on NeuralNets, GANs, Causality, and Medicine Watch it on... YouTube: https://www.youtube.com/watch?v=DOf2lVHzZS4 Podbean: https://podofasclepius.podbean.com/e/philosophy-of-data-science-s3-e1-neuralnets-gans-causality-and-medicine/ Who makes it into the highlight reel of data science? Adler Perotte, because he's a clear thinker on why his data needs a specific type of analysis. In this case, it's the need to draw causal inferences from observational data. Go, GANS! Go! You can join our mail list at...2020-12-151h 03

Data & Science with Glen Wright ColopyCareer Q&A: 10 Questions From a Beginner Data ScientistCareer Q&A: 10 Questions From a Beginner Data Scientist Watch it on... YouTube: https://youtu.be/ftikMj7MoYM Podbean: https://podofasclepius.podbean.com/e/career-qa-10-questions-from-a-beginner-data-scientist/ This week's episode is likely of interest to early career data scientists or those interested in joining the field. Richard Franzese (Certara) & Glen Wright Colopy (Pod of Asclepius) team up to answer 10 questions from Ujjwal Oli, an MSc student at George Washington University MSc Program. The questions range from technical requirements, to desirable soft skills and domain knowledge, to "how can I get an internship...2020-12-091h 13

Data & Science with Glen Wright ColopyPhilosophy of Data Science | Deborah Mayo | Philosophy of Science & StatisticsPhilosophy of Data Science | Keynote 1 Presentation | Philosophy of Science & Statistics Philosophy of Data Science Series Keynote with Deborah Mayo Episode 2: The Philosophy of Science & Statistics In the first keynote of the Philosophy of Data Science Series we have a 2-part interview with Deborah Mayo (Virginia Tech). In the second part of our keynote, Deborah Mayo covers the interplay between scientific and statistical philosophy. Deborah highlights some common scientific fallacies, along with suggestions of where statistical thinking can be made more rigorous. Watch it on... YouTube: https://youtu.be/9GGAXZ6ht...2020-12-0141 min

Data & Science with Glen Wright ColopyPhilosophy of Data Science | S01 E04 | Values and Subjectivity in Data SciencePhilosophy of Data Science Series Session 1: Scientific Reasoning for Practical Data Science Episode 4: Values and Subjectivity in Data Science The Value-Free Ideal is a central tenant of objective science. But how do values, value judgements, and subjectivity leak into the practice of data science and statistics. To what extent is it desirable for science to be informed by values? Kevin Zollman (Carnegie Mellon University) covers the range of key ideas, from Heather E. Douglas to W.E.B. du Bois. Watch it on... YouTube: https://yo...2020-11-161h 17

Stats + StoriesMonitoring Health Data | Stats + Stories Episode 164When an individual is admitted to a hospital they are quite often hooked up to a pan plea of monitoring devices all designed to help the doctors and nurses caring for them meet their medical needs. Increasingly hospitals are exploring how machine learning can help them better monitor patient vital signs and that’s a focus of this episode of Stats and Stories with guest Glen Wright Colopy. Colopy completed his PhD at the Oxford Institute of Biomedical Engineering in 2018. His primary research interests are in probabilistic modeling, time series analysis, and stochastic optimization. He has been doing research in he...2020-11-1234 min

Data & Science with Glen Wright ColopyPhilosophy of Data Science | S02 E04 | Intro to Abductive Reasoning for Data ScientistsPhilosophy of Data Science Series Session 2: Essential Reasoning Skills for Data Science Episode 4: Intro to Abductive Reasoning for Data Scientists Watch it on... YouTube: https://youtu.be/SzQn9SPVhRU Podbean: https://podofasclepius.podbean.com/e/philosophy-of-data-science-s02-e04-intro-to-abductive-reasoning-for-data-scientists/ The third and final of our (planned) short tutorials on key modes of critical reasoning. Abduction is common called "inference to the best explanation"...so it's easy to see why this concept is important for data scientists. Huub Brouwer (Utrecht University) walks us through a brief tutorial on how even a wor...2020-11-0920 min

Data & Science with Glen Wright ColopyPhilosophy of Data Science | S02 E03 | Intro to Inductive Reasoning for Data ScientistsPhilosophy of Data Science Series Session 2: Essential Reasoning Skills for Data Science Episode 3: Intro to Inductive Reasoning for Data Scientists Watch it on... YouTube: https://youtu.be/lNOUvOUE_KE Podbean: https://podofasclepius.podbean.com/e/philosophy-of-data-science-s02-e03-intro-to-inductive-reasoning-for-data-scientists/ New episodes of the Philosophy of Data Science Series will now be published on Mondays! Today's episode is a short introduction to a fundamental concept. Definitely worth your time! Inductive reasoning is the fundamental challenge to scientific rigor. Induction is baked into methods like K-fold cross validation or generalizing fr...2020-11-0214 min

Data & Science with Glen Wright ColopyPhilosophy of Data Science | S02 E02 | Intro to Deductive Reasoning for Data ScientistsPhilosophy of Data Science Series Session 2: Essential Reasoning Skills for Data Science Episode 2: Intro to Deductive Reasoning for Data Scientists Watch it on... YouTube: https://youtu.be/y93D-55wgX8 Podbean: Deductive reasoning pervades statistics and data science...but how far can it get us to the right conclusion from data? Elina Vessonen (Finnish Institute of Health) gives a great 20-minute presentation reviewing the role of deduction in scientific reasoning. Elina begins with a common statistical example and then covers common deductive fallacies and their role in science. It's a s...2020-10-2820 min

Data & Science with Glen Wright ColopyPhilosophy of Data Science | S02 E01 | Round Table on Essential Reasoning Skills for Data SciencePhilosophy of Data Science Series Session 2: Essential Reasoning Skills for Data Science Episode 1: Round Table on Essential Reasoning Skills for Data Science Session 2 "Essential Reasoning Skills for Data Scientists" is kicking off with a roundtable discussion with Elina Vessonen (Finnish Institute for Health & Welfare), Joseph Wu (Brown University), and Huub Brouwer (Tilburg University & Utrecht University). One of the major challenges in data science is that we use three different modes of critical reasoning (deduction, induction, and abduction) on a daily (or even hourly) basis. It's important to un...2020-10-2153 min

Data & Science with Glen Wright ColopyPhilosophy of Data Science | S01 E03 | Communicating the Science in Data SciencePhilosophy of Data Science Series Session 1: Scientific Reasoning for Practical Data Science Episode 3: Communicating the Science in Data Science One of the biggest challenges in data scientists is to communicate why your work matters. Kathy Ensor (ASA 2022 President and Rice University’s Noah Harding Professor of Statistics) covers how to distinguish yourself as a professional by communicating both your scientific and technical value. (Hint: The same scientific reasoning that helps you do good work in data science will also help you critically assess “how” and “what” to communicate.) Watch it o...2020-10-0751 min

Data & Science with Glen Wright ColopyPhilosophy of Data Science | S01 E02 | Scientific Reasoning for Practical Data SciencePhilosophy of Data Science Series Session 1: Scientific Reasoning for Practical Data Science Episode 2: Scientific Reasoning for Practical Data Science Scientific reasoning plays an essential role in data science and statistics, both for developing new methods and applying our methods to real-world problems. In Session 1's titular episode, Andrew Gelman talks through the role of scientific thinking in his approach to data analysis. He also highlights the good ideas that have been generated by the wider statistical community. Watch it on... YouTube: https://youtu.be/R6mq5Esjzfw Co...2020-09-3055 min

Data & Science with Glen Wright ColopyPhilosophy of Data Science | S01 E01 | Critical Reasoning in Medical Machine LearningPhilosophy of Data Science Series Session 1: Scientific Reasoning for Practical Data Science Episode 1: Critical Reasoning in Medical Machine Learning Data science in medicine and healthcare requires not only algorithmic and statistical knowledge but also a strong appreciation of the clinical environment in which (i) the data is being collected and (ii) the algorithm will be used. I'll showcase a scenario where a machine learning system failed to perform a "simple" clinical task and how critical reasoning was used to resolve the problem. Guest-host Kristin Morgan (University of Connecticut) joins u...2020-09-2356 min

Data & Science with Glen Wright ColopyPhilosophy of Data Science | S01E00 | Welcome to the Series!The Philosophy of Data Science Series Session 1: Scientific Reasoning for Practical Data Science Episode 0: Welcome to the Philosophy of Data Science Series! This is our very first episode of "The Philosophy of Data Science" series on Pod of Asclepius! We go over our plans for the series plus some thoughts on why data science is such a rich field for discussions on scientific reasoning. Your time is valuable and you deserve a good explanation of why the topics were chosen and how the series is structured to ma...2020-09-1618 min

Data & Science with Glen Wright ColopyInnovative Trial Design & Master Protocols: Lisa Lavange | Pod of AsclepiusLisa LaVange (Gillings School of Global Public Health at the University of North Carolina at Chapel Hill) was the 2018 American Statistical Association (ASA) president and the director of the Office of Biostatistics in the Center for Drug Evaluation and Research (CDER) at the FDA. She give a high-level overview of issues surrounding Innovative Trial Design and Master Protocols. A great listen for anyone wanting to be introduced to the subject or (for those already familiar) interested in its growing breadth of applications. #datascience #statistics #biopharm #pharma #FDA 2020-09-0944 min

Data & Science with Glen Wright ColopyNC ASA Chapter: Plenty of Online Activities! @Pod of AsclepiusAmy Shi (SAS), Emily Griffith (North Carolina State University), and Elizabeth Mannshardt (EPA) discuss the many activities of the North Carolina Chapter of the American Statistical Association, including a lot of online activities that can be enjoyed even if you aren't in NC. The recording was made on the cusp of COVID...so updated information is posted below. NC ASA Activities NC ASA YouTube Channel: https://www.youtube.com/channel/UCPMPV3vCOY2dZka5ELPBWpA NC ASA Website: https://community.amstat.org/northcarolina/home 2020-08-1139 min

Data & Science with Glen Wright ColopyRelationalAI: Building a Knowledge Graph Database with Julia | Nathan Daly and Molham Aref@POd of AsclepiusMolham Aref and Nathan Daly describe their experience using Julia to build a next-generation knowledge graph database that combines reasoning and learning to solve problems that have historically been intractable. They explain how Julia's unique features enabled them to build a high-performance database with less time and effort. Both Nathan and Molham with be speaking at JuliaCon 2020 at the end of July. It's free and online, so there's no reason not to attend. You can register for JuliaCon 2020 here: https://juliacon.org/2020/ 0:00 Intro 1:25 RelationalAI 3:25 Advantages of Julia as a foundation 2020-07-2141 min

Data & Science with Glen Wright ColopyAre Challenge Trials Ethical for COVID-19? with Richard Yetter Chappell @Pod of Asclepius 2020-07-2033 min

Data & Science with Glen Wright ColopyHow do you forecast the spread of COVID-19? with Lily Wang @Pod of Asclepius 2020-07-1353 min

Data & Science with Glen Wright ColopyJuliaCon 2020 with Jane Herriman - Pod of Asclepius 2020-07-0915 min

Data & Science with Glen Wright ColopyS01 Episode 17 with Xinyi Li Part 2: Big Data Squared - Combining Brain Imaging and Genomics for Alzheimer’s StudiesWorking with brain imaging data, Xinyi has a lot of cool figures to show off in her technical presentation. She walks us through the image-on-scalar regression model and how it is used to infer a personalized “baseline” brain image along with the effects of different cognitive diagnoses. 2020-06-2238 min

Data & Science with Glen Wright ColopyS01 Episode 17 with Xinyi Li Part 1: Big Data Squared - Combining Brain Imaging and Genomics for Alzheimer’s StudiesXinyi continues the conversation on precision medicine research at SAMSI. Xinyi describes the challenges of combining genomic data with imaging data for modelling Alzheimer’s with the goal to supplement subjective diagnosis criteria with the more objective biomarkers. 2020-06-1525 min

Data & Science with Glen Wright ColopyS01 Episode 16 with John Nardini Part 2: Machine Learning and Mathematical Modeling of Wound HealingJohn is back to show the how machine learning can vastly speed up the selection of mathematical models. His presentation provides great visual intuition on how machine learning methods can help select mathematical models, even as measurement noise increases. It’s a huge improvement over selecting models by hand! 2020-06-0823 min

Data & Science with Glen Wright ColopyS01 Episode 16 with John Nardini Part 1: Machine Learning and Mathematical Modeling of Wound HealingJohn discusses his work in the precision medicine program at the Statistical and Applied Mathematical Sciences Institute (SAMSI) to model wound healing. He describes the physiological mechanisms of wound healing and how to select a applications that are appropriate for mathematical modelling. 2020-06-0134 min

Data & Science with Glen Wright ColopyS01 Episode 15 with Rita Hendricusdottir: Oxford Global Guidance to Navigate Medical Device RegulationsRita Hendricusdottir (Department of Engineering Science, University of Oxford) show cases a new tool to help innovators quickly assess the regulatory buden of their medical devices. From answering the simple question of “Is my invention a medical device?” to the complex considerations for “which classification is my device?” the Oxford Global Guidance tool is designed to facilitate this initial evaluation. 2020-05-2912 min

Data & Science with Glen Wright ColopyS01 Episode 14 Part 2 with Mike McArdle: Virtual and Augmented Reality for Medical TrainingMike McArdle, co-founder and Chief Product Officer at Lucid Dream VR, is back to walk us through applications of VR that helps clinicians train for rare events and better understand the patient’s experience. 2020-05-2522 min

Data & Science with Glen Wright ColopyS01 Episode 14 Part 1 with Mike McArdle: Virtual and Augmented Reality for the Life SciencesMike McArdle, co-founder and Chief Product Officer at Lucid Dream VR, breaks down the key technological factors that have led to the rapid increase in VR and AR solutions for the life sciences. He then walks us through two products helping companies and hospitals to accelerate training and talent development on their staff. 2020-05-1827 min

Data & Science with Glen Wright ColopyEarly Career Services in Statistics and Data Science - Wendy Martinez @Pod of AsclepiusHear about new episodes as they come out by joining our mail list: https://www.podofasclepius.com/mail-list You can find the Virtual Undergraduate Career Fair here: https://ww2.amstat.org/virtualcareerservice/ 2020-05-1110 min

Data & Science with Glen Wright ColopyS01 Ep13 with Stephanie Hicks: Data Science Education and the upcoming tracks at SDSS 2020A mini-epsidoe with (fellow data science podcaster) Stephanie Hicks. Stephanie highlights the keynote speakers at SDSS 2020 along with the conference themes. Stephanie will be returning in a few weeks to discuss her own research at the nexus of data science, genomics, and public health. 2020-05-0412 min

Data & Science with Glen Wright ColopyS01 Episode 12 with Paul Elbers: AmsterdamUMCdb, Europe’s first open ICU databaseIt’s not everyday that medical researchers give the world access to 13+ years of dense, high-quality critical care data. Intensivist Paul Elbers describes the data set along with the clinical priorities in collecting the data. Paul covers a range of topics including protecting the patients’ interests and anonymity, a clinician’s priorities when selecting clinical performance metrics, and the stages of validating predictive algorithms up to the stage of an RTC. The work done to create AmsterdamUMCdb is an incredible feat and a huge boon to the medical science profession. 2020-04-2052 min

Data & Science with Glen Wright ColopyS01 Ep11 with Dave Hunter: Disease Network Modeling, Mixture Models, & Career Opportunities at SDSS 2020Dave Hunter highlight a variety of cool life science collaborations he has worked on, including the network models used to describe AIDS transmissions and mixture modelling to describe pediatric cognitive tests. We then talk about the upcoming SDSS 2020 conference, and its newest additions to benefit early career researchers. 2020-04-0630 min

Data & Science with Glen Wright ColopyS01 Ep10 with David Madigan and Demissie Alemayehu: Risks and Opportunities of AI in Clinical Drug DevelopmentThere are many places in which ML/AI methods can be of benefit to pharmaceutical research (several have already been covered on the show). David and Demissie explain where AI can fit in to in vivo studies, which carries it’s own benefits, but also with heightened risk to to human test subjects. They go on to cover several other areas of interest including AI for observation studies and real world evidence. It’s a “big tent” conversation as we lead up to the Pfizer/ASA/Columbia University Symposium on Risks and Opportunities of AI in Clinical Drug Development. Mi...2020-03-2354 min

Data & Science with Glen Wright ColopyS01 Ep08 with Dana Al Sulaiman: Engineering Sensing Platforms for Biomarker DetectionDana al Sulaimen’s (MIT) work runs the gamut of biomedical engineering areas. She gives a great presentation on the clinical motivation for her work, engineering sensing platforms, and data analysis. Definitely watch the video for this one for some excellent visual material. 2020-03-0938 min

Data & Science with Glen Wright ColopyS01 Ep08 with Mona Kanaan and Ada Keding: What is a Stepped-Wedge Trial?2020-03-0432 min

Data & Science with Glen Wright ColopyS01 Ep07 with Shane Burns: Data Platforms to Monitor Animal HealthThe episode of milk and honey. Shane shows us some of the real-time data analytics platforms that track the health of dairy cows and honey bees. 2020-02-2424 min

Data & Science with Glen Wright ColopyS01 Ep06 with Rob Scott: What are a Clinician’s Priorities for Data-Driven Medicine?Rob Scott, Chief Medical Officer at AbbVie, discusses the importance of a clinician’s perspective for keeping clinical trial development focussed on the patients. Rob talks about how the role of a Chief Medical Officer changes between a large pharma company and small biotechs. He then covers the key areas in which new developments in healthcare technology can help us better understand a patient’s response to therapies and interventions. 2020-02-1926 min

Data & Science with Glen Wright ColopyS01 Ep05 with Gajanan Bhat and Xinping Cui: Leveraging Data for Clinical Development & the OC Biostatistics SymposiumGajanan Bhat and Xinping Cui discuss the major themes of data science in clinical drug and device development. 2020-02-1230 min

Data & Science with Glen Wright ColopyS01 Ep04 with Eric Stephens: Hospital Analytics & CSP 2020Eric Stephens, Chief Analytics Officer at Nashville General Hospital, talks about building analytics capacities in the hospital setting and how hospitals select their priorities for new analytics projects. Then he discusses the cool events coming up at CSP 2020 and how applied data scientists have more options than ever for career advancement. 2020-02-1128 min

Data & Science with Glen Wright ColopyS01 Ep03 with Nick de Pennington: Ufonia’s Automated Patient Phone ScreeningNeurosurgeon and entrepreneur Nick de Pennington talks about the importance of automating clinical tasks to help doctors focus on the most challenging cases. 2020-02-1031 min

Data & Science with Glen Wright ColopyS01 Ep02 with Niven Narain: Berg Health’s Data Platforms and Pharmaceutical InnovationNiven Narain, CEO of Berg Health, discusses creating value through data platforms and AI in the pharmaceutical industry. 2020-01-2716 min

Data & Science with Glen Wright ColopyS01 Ep01 with Jeroen Bergmann and Daniel Mogefors: Needs-led Innovation at Oxford UniversityOriginally developed in the Stanford biodesign ecosystem, the “needs-led” approach to healthtech innovation has rapidly become a key philosophy for those wanting to develop a viable healthcare solution. Prof. Jeroen Bergmann and Daniel Mogefors from the Oxford Healthtech Labs break down the key aspects of needs-led innovation and how researchers at Oxford University are using it 2020-01-1423 min

Data & Science with Glen Wright ColopyS01 Ep00 with Glen Wright Colopy: What’s ahead for Q1 of 2020?We’ve got a great lineup of speakers on deck. A quick explanation of who is coming on and why Glen has organized the episodes this way. 2020-01-1407 min

Data & Science with Glen Wright ColopyS00 Ep04 Pt 2 with Allison Meisner: Technical Deep-dive Into Optimizing Bespoke Clinical ModelsThis is Part 2 of a two-part episode in which Allison treats the audience to a technical deep-dive into optimizing bespoke clinical models. In Part 1 of the episode Allison talked about her background, research interests and the research that earned her a win in the ASA Student Paper Competition in 2017. 2020-01-1022 min

Data & Science with Glen Wright ColopyS00 Ep04 Pt 1 with Allison Meisner: Winning the ASA Student Paper Competition and Research OverviewS00 Ep04 Pt01 with Allison Meisner: Predictive Models in Kidney Injury This is Part 1 of a two-part episode in which Allison talks about her background, research interests and the research that earned her a win in the ASA Student Paper Competition in 2017. In Part 2 she will treat the audience to a technical deep-dive into optimizing bespoke clinical models. 2020-01-1024 min

Data & Science with Glen Wright ColopyS00 Ep03 Pt03 with Martin Ho and Greg Maislin: The MDD Idea Exchange and Bayesian p-valuesPart 3 of a three part episode with Martin Ho and Greg Maislin, talking about the ASA Section on Medical Devices and Diagnostics (MDD). This part discusses the MDD Idea Exchange and Bayesian p-values. The other two parts of this episodes cover: Part 1: MDD Section Activities Part 2: Bayesian Methods and Digital Health Initiatives 2020-01-0832 min

Data & Science with Glen Wright ColopyS00 Ep03 Pt2 with Martin Ho and Greg Maislin: Bayesian Methods and Digital Health InitiativesPart 2 of a three part episode with Martin Ho and Greg Maislin, talking about the ASA Section on Medical Devices and Diagnostics (MDD). This part discusses Bayesian Methods and Digital Health Initiatives. The other two parts of this episodes cover: Part 1: MDD Section Activities Part 3: The MDD Idea Exchange and Bayesian p-values 2020-01-0826 min

Data & Science with Glen Wright ColopyS00 Ep03 with Martin Ho and Greg Maislin Pt 1: MDD Section ActivitiesPart 1 of a three part episode with Martin Ho and Greg Maislin, talking about the ASA Section on Medical Devices and Diagnostics (MDD). This part discusses the MDD Section Activities. The other two parts of this episodes will cover: Part 2: Bayesian Methods and Digital Health Initiatives Part 3: The MDD Idea Exchange and Bayesian p-values 2020-01-0820 min

Data & Science with Glen Wright ColopyS00 Ep02 with Emma Hughes: An Introduction to the IET Innovation Management Technical Network and Innovation in the NHSEmma Hughes discusses how to find and cultivate technical entrepreneurial talent. She then talks about the critical challenge of making technical solutions sufficiently robust for clinical implementation. 2020-01-0825 min

Data & Science with Glen Wright ColopyS00 Ep01 Pt2: A Nifty Statistical Approach to Vital-Sign Artefact DetectionThis episode is Part 2 of a two part episode with yours truly, discussing personalized probabilistic patient monitoring. In this part, Glen describes a nifty statistical approach to vital-sign artefact detection. In the first part of this 2 part episode, Glen talks about using Gaussian Processes for identifying the deteriorating patient. 2020-01-0834 min

Data & Science with Glen Wright ColopyS00 Ep01 Pt 1: Gaussian Processes for Identifying the Deteriorating PatientPart 1 of a two part episode with yours truly, discussing personalized probabilistic patient monitoring. In this part Glen talks about Gaussian Processes for Identifying the Deteriorating Patient. The second part of this 2 part episode will describe a nifty statistical approach to vital-sign artefact detection. 2020-01-0840 min

Data & Science with Glen Wright ColopyS00 Ep00 with Glen Wright Colopy: Welcome and hello!Welcome and hello! Glen introduces the podcast, himself, and what’s going on! 2020-01-0814 min

A Fit & Able LifeEp 15: Glen Wright Colopy: Running on PassionGlen Wright Colopy has always been on the go. In fact, as a kid his nickname was "Sport" because he was quick to get on his feet and get on the move. Glen's participated in his first race - the Houston Dino Dash - when he was just 2 years old. Running has been his passion since he was in middle school at Cary Academy. That passion has carried him through state championships in high school, a Top 15 NCAA Varsity team in college at William & Mary, and competing internationally for Oxford University in the UK. Glen shares his experience as a c...2016-01-1427 min

A Fit & Able LifeEp 04: Mike Wright Colopy: The Most Experienced Novice AthleteMike is Alisa’s husband, and Travis’ dad (and Glen's too by the way, who you'll meet on a future episode). He is also Fit & Able’s first and longest participating athlete coached by Alisa. Most of the time he is also the oldest too! But Mike doesn’t see age as an impediment but rather a motivating example to others. If he’s out there, then there's no one who has an excuse to not be out there too! Whether you’re younger or older, able-bodied or disabled, Mike has some great advice for staying motivated to keep moving. You...2015-10-3118 min