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Interviewer(s)
Art Woods, Marty Martin
Interviewee(s)
Andy Kern
Description
How should biologists deal with the massive amounts of population genetic data that are now routinely available? Will AIs make biologists obsolete?
In this episode, we talk with Andy Kern, an Associate Professor of Biology at the University of Oregon. Andy has spent much of his career applying machine learning methods in population genetics. We talk with him about the fundamental questions that population genetics aims to answer and about older theoretical and empirical approaches. We then turn to the promise of machine learning methods, which are increasingly being used to estimate population genetic structure, patterns of migration, and the geographic origins of trafficked samples. These methods are powerful because they can leverage high dimensional genomic data. Andy also talks about the implications of AI and machine learning for the future of biology research.
Cover photo: Keating Shahmehri
Date Published
3-21-2024
Language
eng
Length of Episode
46 minutes, 3 seconds
Digital File Format
audio/mp3
Document Type
Podcast
Recommended Citation
Woods, Art and Martin, Marty, "Episode 118: Dog in the machine (with Andy Kern)" (2024). BigBiology Podcasts. 121.
https://scholarworks.umt.edu/bigbiology_podcasts/121