Join the CQB on Friday, March 21, 2025 from 3-4:00 pm in Wilkinson 021 as we hear from our next guest speaker, Dr. Ron Dror, Professor of Computer Science at Sanford University as he will be discussing, ” Discovering Safe, Effective Drugs via Machine Learning and Simulation of 3D Structure.”
Bio: Ron Dror is the Cheriton Family Professor of Computer Science in the Stanford Artificial Intelligence Lab and a professor, by courtesy, of Structural Biology and of Molecular and Cellular Physiology at the Stanford School of Medicine. He leads a research group that uses molecular simulation and machine learning to elucidate biomolecular structure, dynamics, and function, and to guide the development of more effective medicines. He collaborates extensively with experimentalists in both academia and industry. Before moving to Stanford, he served as second-in-command of D. E. Shaw Research, a hundred-person company, having joined as its first hire. Dr. Dror earned a PhD in Electrical Engineering and Computer Science at MIT and an MPhil in Biological Sciences as a Churchill Scholar at the University of Cambridge.
Abstract: Recent years have seen dramatic advances in both experimental determination and computational prediction of macromolecular structures. These structures hold great promise for the discovery of highly effective drugs with minimal side effects, but structure-based design of such drugs remains challenging. I will describe recent progress toward this goal, using both atomic-level molecular simulations and machine learning on three-dimensional structures.
This fall break, the Duke Center for Quantitative Biodesign (CQB) hosted our 3rd Annual Symposium, highlighting the innovative role of AI in Biodesign. A huge thank you to everyone who attended, and special thanks to our keynote speakers: Mary Dunlop (Boston University), Kevin Yang (Microsoft for Startups, César de la Fuente, PhD (University of Pennsylvania), Philip Romero (Duke University Pratt School of Engineering) Caleb Bashor (Rice University Department of Bioengineering), Tom Sercu (EvolutionaryScale) , Matt Pavlovich (Trends in Biotechnology), & Rohit Singh ( Duke University School of Medicine) their incredible presentations.
We’d also like to congratulate our poster session winners:
First Place: Lauren Hong
Runner-Ups: Nathaniel Blalock and Jennifer Hennigan
A heartfelt thanks to the symposium committee for their help in organizing and facilitating such a successful event. We thoroughly enjoyed connecting with all of you and look forward to more exciting discussions and collaborations next year!