I am a Ph.D. candidate in the School of Operations Research and Information Engineering at Cornell University, where I am fortunate to be advised by Professor Peter Frazier. Before coming to Cornell, I completed the undergraduate program in Mathematics offered jointly by the University of Guanajuato and the Center for Research in Mathematics.

My research interests lie at the intersection between operations research and machine learning, with an emphasis on Bayesian methods for efficient sequential decision making. My dissertation focused on the design and analysis of Bayesian optimization algorithms for problems exhibiting a nested structure. These algorithms have found application in risk-averse simulation optimization of COVID-19 testing policies, multi-objective portfolio optimization with user preferences, and reinforcement-learning-based robot control.

In Fall 2022, I will join the Computing + Mathematical Sciences Department at Caltech as a postdoctoral researcher hosted by Yisong Yue.