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Raul Astudillo

Caltech

I am a Postdoctoral Scholar in the Department of Computing and Mathematical Sciences at Caltech, hosted by Professor Yisong Yue. I earned my Ph.D. in Operations Research and Information Engineering from Cornell University, where I worked with Professor Peter Frazier. During my Ph.D., I spent six months as a Visiting Researcher at Meta. Before joining Cornell, I completed the undergraduate program in Mathematics offered jointly by the University of Guanajuato and the Center for Research in Mathematics.

My research focuses on adaptive learning and decision-making in complex, data-intensive environments, with applications spanning personalized healthcare, engineering design, and scientific discovery. In recognition of my research contributions, I was named a Rising Star in Management Science and Engineering by Stanford University and a Rising Star in Data Science by the University of Chicago and UC San Diego.

I will be joining the Department of Machine Learning at MBZUAI as a tenure-track Assistant Professor in August 2025. I am currently recruiting motivated students and postdoctoral researchers. If you are interested in working with me, please reach out via email with your CV.

News

I will be joining the Department of Machine Learning at MBZUAI as a tenure-track Assistant Professor in August 2025!

Our paper Preferential multi-objective Bayesian optimization has been accepted to TMLR!

Our paper Active learning-assisted directed evolution has been accepted to Nature Communications!