Berkeley AI Summit: Bridging the gap between AI research and business applications

Berkeley Haas School of Business


March 1, 2019
8:30am to 6:00pm
Berkeley Haas School of Business


BIDS Senior Fellow Bin Yu will be one of this year's featured speakers at the Berkeley AI Summit at UC Berkeley's Haas School of Business. This year's event is entitled "Bridging the gap between AI research and business applications" and will bring together diverse perspectives on AI from multiple corners of campus and industry, to help all people start thinking about AI in a more comprehensive, nuanced, and thoughtful way, and to prepare effective and responsible future leaders. The event is intended to be a useful networking platform for interaction between students and professionals, and will consist of multiple speakers with diverse backgrounds in AI/ML, as well as opportunities for attendees to speak with representatives from AI-based companies from startups to major tech firms.



Bin Yu

Professor and Second Chair, Departments of Statistics and EECS, UC Berkeley

Bin Yu is Chancellor’s Distinguished Professor and Class of 1936 Second Chair in the Departments of Statistics and of Electrical Engineering & Computer Science, and Center for Computational Biology at the University of California, Berkeley. She is an Investigator with the Weill Neurohub, a collaboration of the University of California, Berkeley (UC Berkeley), the University of California, San Francisco (UCSF), and the University of Washington (the UW). She leads the Yu Group at Berkeley, which is engaged in interdisciplinary research with scientists from genomics, neuroscience, and medicine. In order to solve data problems in these domain areas, her group employs quantitative critical thinking and develops statistical and machine learning algorithms and theory. She has published more than 100 scientific papers in premier journals in statistics, machine learning, information theory, signal processing, remote sensing, neuroscience, genomics, and networks. She was a Guggenheim Fellow and President of Institute of Mathematical Statistics (IMS), and is a member of the U.S. National Academy of Sciences and fellow of the American Academy of Arts and Sciences.