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Yuekai Sun is an Associate Professor in the Department of Statistics at the University of Michigan, where he leads the Master's Program in Data Science. His research leverages statistical science to ensure artificial intelligence (AI) is safe and reliable in real-world applications. Recently, his interests have included AI alignment and evaluation, algorithmic fairness, and transfer learning. Prior to joining the University of Michigan, Yuekai obtained his PhD in Computational Mathematical Engineering from Stanford University in 2015, where he worked with prominent faculty such as Michael Saunders and Jonathan Taylor. He also earned a BA in Computational Applied Mathematics from Rice University in 2010.
Department of Electrical Engineering and Computer Science