Stanford’s Polly Fordyce on 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. --- 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: Website: --- 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: Links Discus