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Kai Wang attained his Ph.D. in Computer Science from Harvard University, where he was advised by Professor Milind Tambe. His research interests include multi-agent systems, computational game theory, machine learning, optimization, and their applications in public health and conservation. Wang's key technical contributions include decision-focused learning, which integrates machine learning and optimization to enhance learning performance. His algorithms are currently deployed in a non-profit in India, aiming to improve maternal and child health. He has received the Siebel Scholars award and was a paper runner-up at AAAI 2021.
Department of Computer Science: GRE scores are optional for Fall 2026.