I am an Assistant Professor in the Department of Machine Learning at MBZUAI. My research focuses on adaptive learning and decision-making in complex, data-intensive environments, with applications spanning personalized healthcare, engineering design, and scientific discovery.

Before joining MBZUAI, I was 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 also 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 (CIMAT).

I am currently recruiting Ph.D. students interested in AI-driven decision-making and discovery. My group works on topics such as Bayesian optimization, adaptive experimentation, preference elicitation, generative models, uncertainty quantification, and scientific discovery. If you are interested in working with me, please reach out via email with your CV.