Theory and Practice

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: 

Steven Horng 

Yoni Halpern 

Rahul Krishnan 

Fredrik Johansson

Uri Shalit

Irene Chen

Eric Lander, president and founding director of the Broad Institute of MIT and Harvard, joins the show to discuss human genetics and computational biology.

Greg Corrado, senior research scientist with Google AI, examines the impact of artificial intelligence and machine learning on medicine and delves into the future of biological neuroscience.

In this episode, Sir Peter Donnelly, CEO of Genomics Plc and Professor of Statistical Science at the University of Oxford, explores the relationship between genetic variation and complex human diseases and talks about his career at the intersection of statistics and genetics. 

Former Google CEO Eric Schmidt talks about the foundations of computer science, reflects on the role of data in healthcare, and discusses his views on the intersection of technology and life sciences as the next frontier. 

Jessica Mega, Chief Medical Officer at Verily, discusses her career path, the intersection of data science and healthcare, and how medical tools can augment positive health outcomes.

In this episode, Princeton University’s Barbara Englehardt reveals what she’s working on in epigenetics and exploratory data analysis, and examines the theoretical foundations for machine learning and how they are applied in practice. Barbara is currently on leave from Princeton University and is a principal scientist at Genomics Plc.