Theory and Practice

S1E1: Barbara Englehardt, Princeton University

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.

S1E2: Jessica Mega, Verily

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.

S1E3: Eric Schmidt

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.

S1E4: Sir Peter Donnelly, Genomics Plc

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.

S1E5: Greg Corrado, Google

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.