I’m an assistant professor of statistics at the University of British Columbia. My research primarily concerns algorithms for Bayesian modeling and probabilistic machine learning. I’m interested in the application of these methods in several areas, including public health, biomedicine and astrophysics. An outcome of this research is the development of high-performance open-source software, such as Stan, which empower scientists to analyze complex data.
You can find out more by browsing this website or looking at my CV.
News
🦋Sometimes I post on BlueSky social via @charlesm993.bsky.social.
My paper with Loucas Pillaud-Vivien and Lawrence Saul, Variational Inference for Uncertainty Quantification: an Analysis of Trade-offs was accepted for publication in the Journal of Machine Learning Research.
September 25-27: I will attend the Fast and Curious 2: MCMC in action workshop hosted by the University of Toronto. There I will give a proposed talk on (once again) Assessing the Convergence of MCMC when running many short chains.
October 2nd: I will speak at the Department of Statistical Sciences’s seminar at the University of Toronto. (Title and topic forthcoming.)
December 15th-18th: I will attend the International Conference on Statistics and Data Science in Sevilla, Spain. There I will give an invited talk on Matching Symmetries with variational inference.
Old News
August 26-27 2025: I will attend the CANSSI Monte Carlo workshop at UBC. There I’ll give a talk on Assessing the Convergence of MCMC when running many short chains.
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. [slides].
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.
(updated September 2025)