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Ross Shachter is an Associate Professor in the Department of Management Science and Engineering at Stanford University. He completed his Ph.D. at UC Berkeley in Operations Research. His doctoral dissertation developed methods for purchasing expert forecasts to accurately reveal experts' beliefs and probabilities. His primary research interests include the representation, manipulation, and analysis of uncertainty in probabilistic reasoning and decision systems. He has contributed significantly to the development of fundamental methods for analyzing Bayesian belief networks and influence diagrams. His recent work focuses on modeling uncertain processes in decision-making and medical policy, including cancer screening processes, vaccination strategies, and intelligent systems. Additionally, he has held various roles in professional organizations, including Board Chair and Treasurer for the Association for Uncertainty in Artificial Intelligence. He is involved in teaching courses that encompass advanced topics in management science and engineering, engaging with students in multiple research and educational initiatives.
The Computer Science department emphasizes research potential. GRE General is currently optional but recommended for some tracks.