Polly Fordyce — Microfluidic Platforms and Machine Learning
Podcast: Gradient Dissent: Conversations on AIPublished On: Thu Apr 29 2021
Description: Polly explains how microfluidics allow bioengineering researchers to create high throughput data, and shares her experiences with biology and machine learning. ---Polly Fordyce is an Assistant Professor of Genetics and Bioengineering and fellow of the ChEM-H Institute at Stanford. She is the Principal Investigator of The Fordyce Lab, which focuses on developing and applying new microfluidic platforms for quantitative, high-throughput biophysics and biochemistry.Twitter: https://twitter.com/fordycelabWebsite: http://www.fordycelab.com/---Topics Discussed:0:00 Sneak peek, intro2:11 Background on protein sequencing7:38 How changes to a protein's sequence alters its structure and function11:07 Microfluidics and machine learning19:25 Why protein folding is important25:17 Collaborating with ML practitioners31:46 Transfer learning and big data sets in biology38:42 Where Polly hopes bioengineering research will go42:43 Advice for studentsTranscript:http://wandb.me/gd-polly-fordyceLinks Discussed:"The Weather Makers": https://en.wikipedia.org/wiki/The_Wea...---Get our podcast on these platforms:Apple Podcasts: http://wandb.me/apple-podcastsSpotify: http://wandb.me/spotifyGoogle Podcasts: http://wandb.me/google-podcastsYouTube: http://wandb.me/youtubeSoundcloud: http://wandb.me/soundcloudJoin our community of ML practitioners where we host AMAs, share interesting projects and meet other people working in Deep Learning:http://wandb.me/slackCheck out Fully Connected, which features curated machine learning reports by researchers exploring deep learning techniques, Kagglers showcasing winning models, industry leaders sharing best practices, and more:https://wandb.ai/fully-connected
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