Announcing the Berkeley Distinguished Lectures in Data Science

August 24, 2017

The Berkeley Distinguished Lectures in Data Science, co-hosted by the Berkeley Institute for Data Science (BIDS) and the Berkeley Division of Data Sciences, features faculty doing visionary research that illustrates the character of the ongoing data, computational, inferential revolution.  In this inaugural Fall 2017 "local edition," we bring forward Berkeley faculty working in these areas as part of enriching the active connections among colleagues campus-wide.  All campus community members are welcome and encouraged to attend.  

Where: 190 Doe Library
When: Tuesday's 4:10-5:00pm (arrive at 3:30 for tea, coffee, and discussion)

Michael Jordan

September 26

Computational Thinking, Inferential Thinking and Data Science

Michael Jordan
Professor, Statistics & EECS
Laura Waller

October 3

Computational Microscopy

Laura Waller
Associate Professor, EECS
Moritz Hardt

October 10

Biases Beyond Observation

Moritz Hardt
Assistant Professor, EECS
Lisa Garcia Bedolla

October 17

Data for Social Good: Possibilities and Potential Pitfalls

Lisa Garcia Bedolla
Professor, Political Science & Education
Jasjeet Sekhon

November 14

Causal Inference in the Age of Big Data

Jasjeet Sekhon
Professor, Political Science and Statistics
Josh Blumenstock

December 5

Fighting Global Poverty with Data Science

Josh Blumenstock
Assistant Professor, School of Information

Featured Fellows

Bin Yu


Saul Perlmutter

Faculty Director

Laura Waller

Electrical Engineering and Computer Sciences, UC Berkeley

Jasjeet Sekhon

Political Science, Statistics, MSDSE Co-I

Laurel Larsen


Sandrine Dudoit

Biostatistics, Statistics, UC Berkeley

Joshua Blumenstock

School of Information, UC Berkeley