Google Research

Kehang Han


I joined Google Brain as an AI Resident in 2020 and now am a Research Engineer there. My research focus has been Graph Neural Networks and Bayesian methods to make deep learning models more reliable (e.g., reduce overconfidence, improve calibration) under distributional shift. Before that I was a senior data scientist at Staples working on Operations Research and Internet of Things. I obtained PhD from MIT on Chemical Engineering and Computation.

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