# Ricardo Baptista

von Kármán Instructor, California Institute of Technology

I am an instructor in Computing + Mathematical Sciences at Caltech hosted by Andrew Stuart and Houman Owhadi. My research is on probabilistic modeling and inference for problems in science and engineering. Most recently, I have been developing scalable generative models for solving inverse problems based on computational measure transport.

I completed my PhD in the Center for Computational Science and Engineering at MIT where I was fortunate to be advised by Youssef Marzouk. A copy of my PhD thesis can be found here. Before MIT, I received my BASc in Engineering Science from the University of Toronto.

**Contact**: rsb (at) caltech (dot) edu

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## Announcements

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! |
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Oct 2023 | Our paper on learning monotone triangular transports was accepted for publication in Foundations of Computational Mathematics! |

Oct 2023 | Our two submissions to NeurIPS 2023: Debias Coarsely, Sample Conditionally for Statistical Downscaling (spotlight) and Structured Neural Networks (poster) were accepted! Many thanks to my co-authors for the great collaborations. |