Theory and Practice

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

Apr 22, 2021

47:56

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Episode notes

Introduction

2min

The Importance of Courage in Multidisciplinary Science

4min

The Transition From Academia to Academia

4min

Why I Drifted Away From Genetics

3min

How I Got Into Protein Engineering

5min

The Importance of Collaboration in Machine Learning

5min

How to Use CRISPR to Knock Out Genes to Combat Disease

6min

The Quest for Fundamental Understanding

4min

The Four Quadrants of Research

3min

10.

The Origins of Use Inspired Research

2min

11.

The Four Quadrants of Engineering and Research

5min

12.

The Future of Deep Learning

3min

13.

Over Parameterization: A New Approach to Cardiology

2min

This week on Theory and Practice, we speak with Jennifer Listgarten, a professor in UC Berkeley's Electrical Engineering and Computer Sciences department and the Center for Computational Biology. Before Jennifer joined UC Berkeley she spent ten years at Microsoft, working in the New England Research Lab.

Theory and Practice is a presentation of GV and Google AI.

Hosted by Anthony Philippakis (Venture Partner at GV) and Alex Wiltschko (Staff Research Scientist with Google AI), Theory and Practice opens the doors to the cutting edge of biology and computer science through conversations with leaders in the field.

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