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CIS Seminar: “AI for Population Health: Melding Data and Algorithms on Networks”
April 8 at 3:00 PM - 4:00 PM
As exemplified by the COVID-19 pandemic, our health and wellbeing depend on a difficult-to-measure web of societal factors and individual behaviors. My research aims to build AI which can impact such social challenges, advancing health
Computer Science, Harvard University
Bryan Wilder is a PhD student in Computer Science at Harvard University, where he is advised by Milind Tambe. His research focuses on the intersection of optimization, machine learning, and social networks, motivated by applications to population health. His work has received or been nominated for best paper awards at ICML and AAMAS, and also received second place in the INFORMS Doing Good with Good OR competition. He is supported by the Siebel Scholars program and previously received a NSF Graduate Research Fellowship.