Alex Lew

PhD candidate, MIT Probabilsitic Computing Project
Starting Fall 2025: Assistant Professor, Yale Computer Science

Starting Fall 2025, I’m thrilled to be joining Yale’s Computer Science department as an Assistant Professor. Please get in touch if you might be interested in a PhD or postdoc on probabilistic and differentiable programming!


My research aims to automate and scale up principled probabilistic reasoning, in much the same way that tools like TensorFlow and PyTorch have automated and scaled up deep learning. To that end, I develop:

Selected Publications

Selected publications are listed below; please see Google Scholar for a complete list. Asterisks (*) indicate co-first authorship.

Recorded Talks

Some of my research talks are available online with video recordings:


At MIT, I co-taught a January-term course on applied probabilistic programming, and served twice as a TA for 6.885: Probabilistic Programming & AI.

From 2015 to 2018, I taught computer science full-time at Commonwealth School.

From 2015 to 2019, I served as a TA at the Duke Machine Learning Summer School.


Email me at alexlew AT mit DOT edu.