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 |