Event Registration
Professor of Statistics and Computer Science, Columbia University
Hierarchical Causal Models
Monday, September 9, 2024
4:00 - 5:00 pm ET (refreshments at 3:30 pm ET)
Broad Institute - Yellowstone - 415 Main St.
David is a Professor of Statistics and Computer Science at Columbia University. His main research interest lies in the fields of machine learning and Bayesian statistics. David and his group develop novel models and methods for exploring, understanding, and making predictions from the massive data sets that pervade many fields. In particular, they focus on a variety of applications, including language, recommendation systems, neuroscience, and the computational social sciences.
This colloquium is part of a series hosted jointly by the Eric and Wendy Schmidt Center at the Broad Institute and the Department of Electrical Engineering and Computer Science (EECS) at MIT.
The colloquium will be held at the Broad Institute in Yellowstone as well as virtually via YouTube Livestream: broad.io/ewsc. If you do not have a Broad badge, please show up at the 415 Main Street entrance a few minutes prior to the event to be escorted to the talk.
Questions? Email Amanda Ogden at aogden@broadinstitute.org.
https://events.broadinstitute.org/event/ewsc-mit-eecs-colloquium-hierarchical-causal-models-by-david-blei
Yellowstone (Merkin building/415M 2001) or online (broad.io/ewsc)
September 9, 2024