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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. Before that, I completed the undergraduate program in Mathematics offered jointly by the University of Guanajuato and the Center for Research in Mathematics. In 2021, I was a Visiting Researcher at Meta within the Adaptive Experimentation team led by Eytan Bakshy.

My research interests lie at the intersection between operations research and machine learning, with a focus on algorithms for efficient sequential decision-making under uncertainty. More specifically, my work combines rigorous decision-theoretic foundations with sophisticated machine learning tools to develop modern adaptive experimentation methods. These methods have found application in cellular agriculture, materials design, and protein engineering.

Interests

  • Bayesian Optimization
  • Preference Elicitation
  • Adaptive Experimentation
  • Simulation Optimization
  • Optimal Learning
  • Bayesian Machine Learning

Education

  • Ph.D., Operations Research and Information Engineering, 2022

    Cornell University

  • B.S., Mathematics, 2016

    University of Guanajuato & Center for Research in Mathematics (Mexico)

Talks

Bayesian Optimization of Function Networks
Bayesian Optimization of Function Networks
Bayesian Optimization of Composite Functions
Bayesian Optimization of Composite Functions