Distinguished Speaker Series Panel: Machine Learning for Model-Rich Problems

Machine learning is a powerful paradigm emerging from computer science and statistics that has found effective applications across a spectrum of disciplines. In this series, we feature four leading innovators working at the interface of machine learning and theory-driven modeling from the domains of astrophysics, biophysics, economics, and structural design. Come join them as they speak together about how to incorporate the benefits of data-driven machine learning in disciplines that are already rich in theory-driven models.

When 11:00 am to 12:30 pm on Monday, May 3, 2021
Location Zoom. Please register in advance on Eventbrite for Zoom information.
Contact Name Gina Mantica
Phone 617-353-7942
Contact Email gmantica@bu.edu
Contact Organization Hariri Institute for Computing
Fees Free
Speakers Cecilia Clementi, Professor, Physics and Researcher, Freie Universität Berlin Miguel Bessa, Assistant Professor, Materials Science and Engineering, Delft University of Technology Jacob Bortnik, Professor, Atmospheric and Oceanic Sciences, University of Ca