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
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.