BIDS Machine Learning and Science Forum
Date: Monday, December 13, 2021
Time: 11:00 AM - 12:00 PM Pacific Time
Location: Participate remotely using this Zoom link
Speaker: Eli Ben-Michael, Postdoctoral Fellow, Institute for Quantitative Social Science, Statistics, Harvard
The BIDS Machine Learning and Science Forum meets biweekly to discuss current applications across a wide variety of research domains in the physical sciences and beyond. Hosted by BIDS Affiliates Uroš Seljak (professor of Physics at UC Berkeley) and Ben Nachman (physicist at Lawrence Berkeley National Laboratory), these active sessions bring together domain scientists, statisticians, and computer scientists who are either developing state-of-the-art methods or are interested in applying these methods in their research. To receive email notifications about upcoming meetings, or to request more information, please contact the organizers at email@example.com. All interested members of the UC Berkeley and Berkeley Lab communities are welcome and encouraged to attend.
Eli Ben-Michael is a postdoctoral fellow in the Institute for Quantitative Social Science and the Department of Statistics at Harvard University. Previously, he studied at the Department of Statistics at UC Berkeley, where he earned a PhD. Before that, he spent undergraduate years at Columbia University and received a bachelors degree in computer science and statistics. Drawing from computational statistics, optimization, and machine learning, he works on developing methods for causal inference and applying them to problems in the social sciences.