Biomolecular Modeling in the Age of Machine Learning
Event date:
Friday, May 21, 2021 - Friday, May 21, 2021 Export event
This event has passed. Check out our upcoming Networking Events.
The purpose of this event is to bring together speakers to discuss opportunities and challenges in leveraging machine learning to enhance the molecular modeling of biophysical systems. During this event will we focus on applications of machine learning to biomolecular structure prediction and molecular dynamics simulations.
Click here to submit a poster. The poster submission deadline is May 17.
The event will be held on May 21, 2021 from 8 am - 2 pm EST. When is this in my time zone?
The event is organized by BPS members Dr. Aaron Frank, from University of Michigan, and Dr. Alex Dickson from Michigan State University.
Event Speakers
Aaron T. Frank, University of Michigan
Alex Dickson, Michigan State University
Lucie Delemotte, KTH Royal Institute of Technology
Frank Noé, Freie Universität Berlin
Celia Schiffer, University of Massachusetts Medical School
Mohammed AlQuraishi, Columbia University
Event Schedule
| 8:15 - 8:30 |
Introductions (Aaron T. Frank and Alex Dickson) |
| 8:30 - 9:15 |
Talk: Lucie Delemotte |
| 9:30 - 10:15 |
Talk: Frank Noé |
| 10:30 - 11:15 |
Talk: Celia Schiffer |
| 11:15 - 12:00 |
Talk: Mohammed AlQuraishi |
| 12:00 - 12:15 |
BREAK |
| 12:15 - 1;00 |
Poster Session |
| 1:00 - 2:00 |
Social Hour |