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Andre Wibisono is a Professor at Yale Engineering with a distinguished background in computer science and applied statistics. He earned his Ph.D. in Computer Science from the University of California, Berkeley, alongside a Master's in Statistics from the same institution, and further holds a Master's and Bachelor's from the Massachusetts Institute of Technology in Computer Science and Mathematics respectively. His research specializes in the development and analysis of algorithms for machine learning, focusing on optimization, sampling, and game dynamics, employing methodologies from dynamical systems, statistics, and information theory. A notable contributor to the field, he has published multiple influential papers in conferences such as NeurIPS and COLT, demonstrating significant advancements in algorithmic design and theoretical performance. In recognition of his contributions, he was awarded the NSF CAREER Award, which aims to support early-career faculty in developing innovative research and educational programs.
Administered via the Graduate School of Arts and Sciences (GSAS). GRE General is optional for PhD.