Resume
Academic Achievements
- 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.