Computational methods and machine learning are currently THE hot-topics and they are also applied in neuroscience research, showing us where the field is heading in the future. If you have ever wondered how these methods work, what their advantages - but also limitations - are and how they are implemented in research on women's mental health: We got you!
In this episode Franziska is hosting Tobias Kaufmann, professor of neurotechnology and computational psychiatry at the University of Tübingen, who is also part of the IRTG2804. Tobias explains the basics of computational methods and gives us concrete examples of his own work, providing a first glimpse into the computational world. Also, we hear about his new ERC project: "HealthyMom: Modeling and maintaining maternal mental health".
Timestamps:
00:25 Introduction
01:18 Computational psychiatry: Advantages & limitations
10:15 Tobias' computational methods & examples: Prediction & classification models
21:14 Computational methods in women's (mental) health: Focus on adolescence
30:11 HealthyMom Project: Brain plasticity during pregnancy loss
40:26 Recruitment information for Healthy Mom Study
41:30 Summary
43:40 Next steps in computational psychiatry and women's mental health
Website to Kaufmann Lab: https://www.kaufmannlab.org/
About the HealthyMom Project: https://www.kaufmannlab.org/post/20230202-erc-consolidator-grant/
References:
Outline & questions: Franziska Weinmar & Gloria Matte Bon
Sound recording: Franziska Weinmar with the equipment of the IRTG2804
Editing: Franziska Weinmar
Do you have any feedback, suggestions, or questions? Get in touch with us: irtg2804.podcast@gmail.com
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