I’m an (incoming) assistant professor of statistics at the University of British Columbia in Vancouver. Currently, I’m finishing a postdoc fellowship in computational mathematics at the Flatiron Institute, a part of the Simons Foundation in New York. I earned a PhD in statistics from Columbia University.
You can find out more by looking at my CV and browsing this website.
Sometimes I post on BlueSky social via @charlesm993.bsky.social.
(updated June 2025)
Research Interests
My research broadly concerns Bayesian modeling and probabilistic machine learning. This work bridges theory, computation, and application through the development of probabilistic programming languages such as Stan and TensorFlow Probability.
News
June 29 - July 06 2025: I will teach at the summer school on cryptography, statistics and machine learning in Tsaghkadzor, Armenia. My course: Bayesian Statistics: a practical introduction.
June 16-20 2025: I will attend BayesComp in Singapore to chair a session on Parallel Computation for Markov chain Monte Carlo, and give an invited talk at the session on Advances in Variational Inference.
May 3-5 2025: Lawrence Saul and I received the best paper award at AISTATS 2025 for our paper on Variational Inference in Location-Scale Families.
I accepted a position as an assistant professor of statistics at UBC: here’s a short statement.