Ricardo Baptista
Statistical Sciences, University of Toronto

Since Fall 2025, I am an Assistant Professor of Statistical Sciences at the University of Toronto and a Faculty Affiliate at the Vector Institute. My research is on probabilistic modeling and inference for problems in science and engineering. Most recently, I have been developing and analyzing generative models based on computational measure transport.
Bio: I was a von Kármán instructor at Caltech in Computing + Mathematical Sciences and a Postdoctoral Scientist at Amazon Search where I was hosted by Andrew Stuart. I completed my PhD at MIT in Computational Science and Engineering where I was fortunate to be advised by Youssef Marzouk. I also received my BASc in Engineering Science from the University of Toronto.
Contact: r.baptista (at) utoronto (dot) ca
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Announcements
Sep 2024 | Our paper on approximation theory for measure transport algorithms was accepted in AMS: Mathematics of Computations! |
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Jul 2024 | Gave a joint keynote talk at the CIRM-Marseille Digital Twins for Inverse Problems Workshop on Bayesian inference via dimension reduction. Thank you to all of the organizers! |
Nov 2023 | Gave the USNCCM Large-Scale TTA early-career colloquium on dimension reduction methods for probabilistic modeling. Thank you Shelly and Patrick for the invitation! |