S1E7: David Sontag, MIT

Update: 2020-01-08

Description

David Sontag, Associate Professor of Electrical Engineering and Computer Science at MIT, explores how artificial intelligence can transform medicine, and discusses the importance of fairness in machine learning.

Episode notes on research attribution:

Comments

In Channel

Introducing Theory and Practice

2019-09-1613:09

S1E1: Barbara Englehardt, Princeton University

2019-10-0244:49

S1E2: Jessica Mega, Verily

2019-10-1627:33

S1E3: Eric Schmidt

2019-10-3046:53

S1E4: Sir Peter Donnelly, Genomics Plc

2019-11-1350:52

S1E5: Greg Corrado, Google

2019-11-2741:51

S1E6: Eric Lander, Broad Institute

2019-12-1151:08

S1E7: David Sontag, MIT

2020-01-0851:03

S1E8: Daphne Koller, insitro

2020-01-2230:05

S1E9: Cori Bargmann, Chan Zuckerberg Initiative

2020-02-0501:00:15

S1E10: Zach Weinberg, Flatiron Health

2020-02-1946:46

S1E11: Alexis Borisy, Finale Doshi-Velez, Pardis Sabeti

2020-03-0438:46

S2E1: A Conversation with the Broad Institute's Anne Carpenter

2021-04-0841:07

S2E2: Sir Rory Collins on the Power of Math and Biomedical Data to Solve Today’s Health Problems

2021-04-1538:39

S2E3: Dr. Jennifer Listgarten on Solving Biological Questions with Creative Machine Learning

2021-04-2247:56

S2E4: Dr. Caroline Uhler on Harnessing the Power of Machine Learning to Drive New Discoveries in Biology

2021-04-2944:50

S2E5: Dr. Krishna Yeshwant on Exploring the Intersection of Technology and Life Sciences

2021-05-0645:47

S2E6: Dr. Tim Yu on Running the First “N of 1” Drug Trial

2021-05-1351:35

S2E7: Dr. David Altshuler on Translating the Human Genome Project Into Benefits for Human Health

2021-05-2043:27

S2E8: Dr. Amy Abernethy on Closing the Gap Between Clinical Practice and Clinical Research

2021-05-2753:01

00:00

#box-pro-ellipsis-175757853563939{-webkit-line-clamp:2;}S1E7: David Sontag, MIT

S1E7: David Sontag, MIT

S1E7: David Sontag, MIT