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Alex Lew is an Assistant Professor in the Department of Computer Science at Yale University. He earned his Ph.D. and S.M. from the Massachusetts Institute of Technology (MIT) and completed his B.S. at Yale University. His research interests focus on automating principled probabilistic reasoning, leveraging techniques from programming languages, machine learning, Bayesian statistics, and cognitive science. He is particularly interested in the theory and practice of probabilistic differentiable programming languages. Alex is a member of the GenLM consortium, a multi-university partnership dedicated to controlling, composing, and understanding language models through the application of probabilistic programming and Bayesian inference toolkits. Throughout his career, Alex has received multiple awards, including the ACM SIGPLAN Distinguished Paper Award at the Principles of Programming Languages (POPL) and the Probability Programming Research Award from Meta. His selected publications investigate innovative approaches in the realm of probabilistic programming and machine learning, reflecting his commitment to advancing the field.
Administered via the Graduate School of Arts and Sciences (GSAS). GRE General is optional for PhD.