Gradient Dissent: Conversations on AI29 Huhti 2021

Polly Fordyce — Microfluidic Platforms and Machine Learning

Polly explains how microfluidics allow bioengineering researchers to create high throughput data, and shares her experiences with biology and machine learning.

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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/fordycelab

Website: http://www.fordycelab.com/

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Topics Discussed:

0:00 Sneak peek, intro

2:11 Background on protein sequencing

7:38 How changes to a protein's sequence alters its structure and function

11:07 Microfluidics and machine learning

19:25 Why protein folding is important

25:17 Collaborating with ML practitioners

31:46 Transfer learning and big data sets in biology

38:42 Where Polly hopes bioengineering research will go

42:43 Advice for students

Transcript:

http://wandb.me/gd-polly-fordyce

Links Discussed:

"The Weather Makers": https://en.wikipedia.org/wiki/The_Wea...

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