Polly Fordyce — Microfluidic Platforms and Machine Learning
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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/fordycelab​ Website: http://www.fordycelab.com/​

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​

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