Alex Lew is an Assistant Professor at Yale University in the Department of Computer Science, where his research focuses on automating scalable principled probabilistic reasoning. He is particularly interested in the theoretical and practical aspects of probabilistic programming languages, machine learning, Bayesian statistics, and cognitive science. His work involves the GenLM consortium, a multi-university partnership aimed at controlling, composing, and understanding language models through probabilistic programming and Bayesian inference toolkits. With a background comprising a Ph.D. and S.M. from the Massachusetts Institute of Technology and a B.S. from Yale University, Lew has made significant contributions to the field, including multiple distinguished paper awards from ACM SIGPLAN and ACM SIGLOG. His selected publications cover a range of topics, including stochastic inference and programming languages, published in top conferences such as ICLR, PLDI, and LICS.