AI-driven discovery in biophysics
AI-Driven Discovery in Biophysics, a CMU/Pitt conference organized by CMU biophysicists Ulrike Endesfelder and Shila Banerjee and CMU computational biologist Russell Schwartz, will be held Wednesday, November 11 from 9 a.m. - 2 p.m.
Speakers include:
- Chris Langmead, CMU Department of Computational Biology: AI and Biophysics: Generative Models and Bayesian Optimization
- Amir Barati-Farimani, CMU Department of Mechanical Engineering: How Can AI Discover and Engineer Biology: From Antibody Design to Cryo-EM Super Resolution
- Jessica Zhang, CMU Department of Mechanical Engineering: Multiscale Modeling for Biomolecular Complexes and Neural Material Transport Simulation Using Deep Learning
- Min Xu, CMU Department of Computational Biology: Structural Pattern Mining in Cryo-Electron Tomography
- Olexander Isayev, CMU Department of Chemistry: Accelerating Drug Discovery with Machine Learning and AI
- Ivet Bahar, Pitt Department of Computational & Systems Biology: Network Models in Biology: Applications to Missense Variants and Chromatin Dynamics
The event will end with a panel discussion on the future of AI and biophysics. Attendees should register in advance to receive the Zoom link.
More on our website: https://events.mcs.cmu.edu/aiddib/