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Computer Science

Xinkun Nie

I am a third-year Ph.D. student in the Department of Computer Science at Stanford University, advised by Stefan Wager. I am fascinated by how we can effectively learn from data to answer questions that arise in the social and medical sciences and to improve the way our society makes decisions. I am excited about building reliable, fair, and efficient statistical frameworks that are accessible to practitioners and policymakers. I am particularly interested in causal inference.

I gratefully acknowledge support from a Stanford Data Science Scholar Award, a Stanford School of Engineering Fellowship, and Stanford Human-Centered AI. Prior to Stanford, I obtained my B.S. in Electrical Engineering and Computer Science at MIT in 2016. As an undergraduate, I was very curious about how we could build smart robots, and had the fortune of doing robotics research in the Learning and Intelligent Systems Group supervised by Leslie Pack Kaelbling and Tomás Lozano-Pérez. I have also spent time in the Machine Learning team at Hunch (acquired by eBay), and in the Platform Infrastructure division at Akamai Technologies.