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Ricardo’s research focuses on establishing mathematical foundations and theoretical guarantees for probabilistic machine learning models, with broad applications in science and engineering. He is currently an Assistant Professor in the Department of Statistical Sciences. Prior to joining the department, 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.
University of Toronto • Toronto
Joined the Department of Statistical Sciences as an Assistant Professor.
California Institute of Technology • Pasadena
Served as an Instructor in Computing and Mathematical Sciences.
Amazon •
Worked as a Postdoctoral Scientist.
Department of Sociology