Polly Fordyce — Microfluidic Platforms and Machine Learning
Gradient Dissent: Conversations on AI29 Apr 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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