Monday, November 14, 2022
Morning Session
08:00-08:55
Check-In/Breakfast (Hosted by IPAM)
08:55-09:00
Welcome & Opening Remarks: Dean Miguel García-Garibay (Dean of Physical Sciences, UCLA) and Dima Shlyakhtenko (Director, IPAM)
09:00-09:00
Session Chair: Sriram Subramaniam (UBC)
09:00-09:50
Steven Ludtke (Baylor College of Medicine)
Contextual Conformational Variability in CryoEM and CryoET using Deep Learning10:00-10:15
Break
10:15-11:05
Carlos Oscar Sorzano (Centro Nacional de Biotecnología (CSIS))
Virtual Talk: Overview of the machine and deep learning needs and trends for Single Particle Analysis by Cryo-Electron Microscopy11:15-11:30
Break
11:30-12:20
Geoffrey Woollard (University of British Columbia)
Using Stochastic variational inference and Computational Optimal Transport for problems in 3D heterogeneityAfternoon Session
12:30-14:30
Lunch (on your own)
14:30-15:20
Ellen Zhong (Princeton University)
Machine learning for determining protein structure and dynamics from cryo-EM images15:30-15:50
Break
15:50-16:40
Roy Lederman (Yale University)
Approaches for Exploring the Geometry of Molecular Conformations in Cryo-EM16:50-17:20
Lightning Poster Presentations
17:20-18:45
Poster Session & Reception (Hosted by IPAM)