PROGRAM

Session I

Discussion Leader: Russell Schwartz

9:00 – 9:30 Chris Langmead – AI and Biophysics: Generative Models and Bayesian Optimization
9:30 – 10:00
Amir Farimani – How AI Can Discover and Engineer Biology: From Antibody Design To Cryo-EM Super Resolution
10:00 – 10:30 Jessica Zhang – Multiscale Modeling for Biomolecular Complexes and Neural Material Transport Simulation Using Deep Learning
10:30 – 11:00 Poster Session
1) SidechainNet: An All-Atom Protein Structure Dataset for Machine Learning – Jonathan E. King, David Ryan Koes
2) AI for Single-Molecule Localization Microscopy – Koen Martens, Bartosz Turkowyd, Jannik Winkelmeier, Ulrike Endesfelder
3) Deep Learning of Material Transport in Complex Neurite Networks – Angran Li, Amir Barati Farimani, Yongjie Jessica Zhang
4) open discussion room
11:00 – 11:30 SHORT BREAK

 

Session II

Discussion Leader: Shila Banerjee

11:30 – 12:00 Min Xu – Structural Pattern Mining in Cryo-electron Tomography
12:00 – 12:30
Olexandr Isayev – Accelerating Drug Discovery With Machine Learning and AI
12:30 – 1:00 Ivet Bahar – Network Models in Biology: Applications to Missense Variants and Chromatin Dynamics

Panel Discussion

Discussion Leader: Ulrike Endesfelder

1:00 – 2:00 Future of AI and Biophysics with Panelists from Both Sessions