Monday, June 9th

9:00: Coffee

9:15: Introduction, Stephanie Wankowicz

9:35: Pratyush Tiwary: 2031: A Bio-AI Odyssey – Generative Models Robust Across Environments

10:05: Sarah Raushcer: Molecular Simulations of Protein Structure and Dynamics across the Continuum of Protein Disorder

10:45: BREAK

11:05: Siyuan Du: Has AlphaFold learned physics?

11:45: Aditi Krishnapriyan: Action-Minimization Meets Generative Modeling: Efficient Transition Path Sampling with the Onsager-Machlup Functional

12:15: LUNCH

1:30: Hannah Wayment-Steele: Learning millisecond protein motions from what is missing in NMR spectra

2:10: Bodhi Vani/Ameya Daigavane: Bridging Smoothed Molecular Dynamics and Score-Based Learning for Conformational Ensemble Generation

2:30: Doeke Hekstra: Connecting AlphaFold to experimental data

3:10: BREAK

3:35: Eugene Palovcak: Drugging an Evolving Allosteric Nanomachine

4:05: Karson Chrispens: Steered protein generative models for real space refinement of conformational ensembles

4:30: Happy Hour at Ballast Point Brewing

Tuesday, June 10th

9:00: Coffee

9:15: The role of open science in conformational ensemble algorithmic development

10:15: Erik Thiede: Learning Forces for Molecular Simulations from Cryo-EM

10:55: BREAK

11:20: Laurel Kinman: Towards quantitative analysis of conformational landscapes with cryo-EM

12:00: LUNCH

1:30: Axel Levy: Leveraging cryo-EM data for enhanced conformational sampling

2:10: Yuda Chen: Emergence of specific binding and catalysis from a designed generalist binding protein

2:40: Bronwyn Lucas: Cryo-EM for single molecule structural cell biology

3:20: BREAK

3:50: Ben Barad: Introducing cellular context to statistical structural biology

4:30: Closing, Stephanie Wankowicz/James Fraser

5:00: Beers & Cheers!