Prior to joining MBZUAI, Professor Astudillo Marban was a Postdoctoral Scholar in the Department of Computing and Mathematical Sciences at the California Institute of Technology, where he worked with Professor Yisong Yue. He earned his Ph.D. in Operations Research and Information Engineering from Cornell University, under the supervision of Professor Peter Frazier. During his doctoral studies, he also held a Visiting Researcher position at Meta. He holds a B.Sc. in Mathematics from the University of Guanajuato and the Center for Research in Mathematics in Mexico.
Professor Astudillo Marban’s research focuses on developing principled algorithms for data-efficient learning and decision-making in complex, uncertain environments. His work lies at the intersection of machine learning, optimization, and generative modeling, with applications in adaptive experimentation, data acquisition, and automated discovery. These methods have advanced solutions in personalized healthcare, engineering design, and scientific research.
He has been recognized as a Rising Star in Management Science and Engineering by Stanford University, and as a Rising Star in Data Science by both the University of Chicago and UC San Diego. His research has earned multiple accolades, including Best Paper Finalist honors at INFORMS and the prestigious Computing, Data, and Society Postdoctoral Fellowship from Caltech.