Assistant Professor
9133
Campus
- Downtown Toronto (St. George)
Cross-Appointments
Faculty Affiliate, Vector Institute, Department of Computer Science, University of Toronto
Fields of Study
- Probability
- Statistical Computing
Areas of Interest
- Bayesian Inference
- Machine Learning
- Generative Models
Biography
Ricardo’s research focuses on establishing the mathematical foundations and theoretical guarantees of probabilistic machine learning models, with broad applications in science and engineering. Before joining the department as an Assistant Professor of Computational Statistics, he served as an Instructor in Computing and Mathematical Sciences at Caltech and as a Postdoctoral Scientist at Amazon. He holds a PhD in Computational Science and Engineering from MIT, where he specialized in uncertainty quantification, and a BASc in Engineering Science from the University of Toronto.