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Ron Ofer Dror
Professor, Computer Science
Professor (By courtesy), Molecular & Cellular Physiology
Professor (By courtesy), Structural Biology
Member, Bio-X
Faculty Affiliate, Institute for Human-Centered Artificial Intelligence (HAI)
Member, Institute for Computational and Mathematical Engineering (ICME)
Faculty Fellow, Sarafan ChEM-H
Member, Wu Tsai Neurosciences Institute
Affiliation:
Committee:
Ron Dror is the Cheriton Family Professor of Computer Science in the Stanford Artificial Intelligence Lab. Dr. Dror 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, Dr. Dror served as second-in-command of D. E. Shaw Research, a hundred-person company, having joined as its first hire. He designed computer hardware, software, and algorithms that accelerate molecular dynamics simulations by orders of magnitude, and applied these simulations to the study of protein function, protein folding, and protein-drug interactions.
Dr. Dror earned a PhD in Electrical Engineering and Computer Science at MIT, where he developed machine learning methods for computer vision and genomics. He earned an MPhil in Biological Sciences as a Churchill Scholar at the University of Cambridge, as well as undergraduate degrees in Mathematics and in Electrical and Computer Engineering at Rice University, summa cum laude. He has been awarded a Fulbright Scholarship and fellowships from the National Science Foundation, the Department of Defense, and the Whitaker Foundation, as well as two Gordon Bell Prizes and several Best Paper awards. His work has been highlighted by Science as a top-10 breakthrough of the year.
Before moving to Stanford, Dr. Dror served as second-in-command of D. E. Shaw Research, a hundred-person company, having joined as its first hire. He designed computer hardware, software, and algorithms that accelerate molecular dynamics simulations by orders of magnitude, and applied these simulations to the study of protein function, protein folding, and protein-drug interactions.
Dr. Dror earned a PhD in Electrical Engineering and Computer Science at MIT, where he developed machine learning methods for computer vision and genomics. He earned an MPhil in Biological Sciences as a Churchill Scholar at the University of Cambridge, as well as undergraduate degrees in Mathematics and in Electrical and Computer Engineering at Rice University, summa cum laude. He has been awarded a Fulbright Scholarship and fellowships from the National Science Foundation, the Department of Defense, and the Whitaker Foundation, as well as two Gordon Bell Prizes and several Best Paper awards. His work has been highlighted by Science as a top-10 breakthrough of the year.