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Stefano Ermon is an Associate Professor in the Department of Computer Science at Stanford University and a Senior Fellow at the Woods Institute for the Environment. His research focuses on methods for scalable and accurate inference in graphical models, statistical modeling of data, large-scale combinatorial optimization, and robust decision-making under uncertainty. He is motivated by a range of applications, particularly in the emerging field of computational sustainability. He completed his Ph.D. in Computer Science at Cornell University in 2015.
The Computer Science department emphasizes research potential. GRE General is currently optional but recommended for some tracks.