Ricardo Baptista

Ricardo is a von Karman Instructor in Computing and Mathematical Sciences at Caltech. He received his PhD from the Center for Computational Science and Engineering at MIT in 2022, where he was a member of the Uncertainty Quantification group. His research is motivated by the need for accurate uncertainty quantification in complex physical systems. He is interested in developing scalable computational methods for Bayesian inference and probabilistic modeling, in particular using measure transport techniques. Practically, he applies his work to improve predictions and build insights for problems in science and engineering.