ACM-IMS Interdisciplinary Summit on the Foundations of Data Science

Association for Computing Machinery (ACM) and the Institute of Mathematical Statistics (IMS)

Conference

June 15, 2019
9:00am to 6:00pm
San Francisco, CA

Register

BIDS Senior Fellow Bin Yu will be one of this year's featured speakers at the ACM-IMS Interdisciplinary Summit on the Foundations of Data Science in San Francisco on June 15, 2019. ACM, the Association for Computing Machinery, and IMS, the Institute of Mathematical Statistics, have launched a new joint venture to propel data science and to engage and energize our communities to work together. This all-day launch event will bring together distinguished speakers and panelists addressing topics such as deep learning, reinforcement learning, fairness, and ethics, in addition to discussions about the future of data science and the role of ACM and IMS.

REGISTER  Seating is limited so register early.

CONTACT Patricia M. Ryan, datascience@acm.org

Speaker(s)

Bin Yu

Chancellor’s Professor, Statistics, UC Berkeley

Bin Yu is Chancellor’s Professor in the Departments of Statistics and of Electrical Engineering & Computer Science at the University of California at Berkeley. She is founding co-director of the Microsoft Joint Lab at Peking University on Statistics and Information Technology. Her group at Berkeley 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 is a member of the U.S. National Academy of Sciences and fellow of the American Academy of Arts and Sciences.