Machine Learning in Biology and Getting into Grad School

Talking Machines

Episode | Podcast

Date: Thu, 13 Aug 2015 17:07:47 GMT

In episode seventeen we talk with Jennifer Listgarten of  Microsoft Research New England about her work using machine learning to answer questions in biology. Recently, With her collaborator Nicolo Fusi, she used machine learning to make CRISPR more efficient and correct for latent population structure in GWAS studies. We take a question from a listener about the development of computational biology and Ryan gives us some great advice on how to get into grad school (Spoiler alert: apply to the lab, not the program.)<p>See <a href="https://omnystudio.com/listener">omnystudio.com/listener</a> for privacy information.<br /><hr /><p style="color: grey; font-size: 0.75em;"> Hosted on Acast. See <a href="https://acast.com/privacy" rel="noopener noreferrer" style="color: grey;" target="_blank">acast.com/privacy</a> for more information.</p>