Published multiple papers in areas such as machine learning, recommendation systems, online experiments, social media marketing, multi-armed bandit algorithms, etc., including 'Collaborative Intelligence in Sequential Experiments: A Human-in-the-Loop Framework for Drug Discovery', 'Contextual Linear Bandits with Delay as Payoff', and more.
Research Experience
Currently an Assistant Professor of Information Systems at the Foster School of Business, University of Washington.
Education
PhD: Princeton University (2017); BS: Peking University (2012)
Background
Research interests include big data, data analytics, e-commerce, machine learning, operations research, and statistics. Current research focuses on machine learning, recommendation systems, Bayesian optimization, dynamic pricing, e-commerce, online auctions, deep learning, natural language processing, and healthcare analytics.