Scholar
Ricardo Baptista
Google Scholar ID: rdYO0XYAAAAJ
University of Toronto
Citations & Impact
Citations
959
H-index
14
i10-index
24
Publications
20
Co-authors
11
list available
Contact
Publications
Resume (English only)
Academic Achievements
- Paper on approximation theory for measure transport algorithms accepted in AMS: Mathematics of Computations; gave a joint keynote talk at CIRM-Marseille Digital Twins for Inverse Problems Workshop; delivered the USNCCM Large-Scale TTA early-career colloquium on dimension reduction methods for probabilistic modeling.
Research Experience
- Since Fall 2025, Assistant Professor at the University of Toronto and Faculty Affiliate at the Vector Institute; previously a von Kármán instructor at Caltech in Computing + Mathematical Sciences, hosted by Andrew Stuart and Houman Owhadi; also a Postdoctoral Scientist at Amazon Search.
Education
- PhD: Massachusetts Institute of Technology (MIT) in Computational Science and Engineering, advised by Youssef Marzouk; BASc: University of Toronto in Engineering Science.
Background
- Research interests include probabilistic modeling and inference for problems in science and engineering. Recently, he has been developing and analyzing generative models based on computational measure transport.
Miscellany
- Contact: r.baptista (at) utoronto (dot) ca; Follow: Google Scholar, arXiv, GitHub, LinkedIn
