My research interest lies in data-driven decision-making with problems arising from optimization, machine learning, and operations research. Specifically, I am interested in designing simple and efficient algorithms for stochastic optimization, robust learning, bandit and reinforcement learning with provable guarantees as well as understanding the fundamental statistical properties. I am also interested in modelling and solving operations management problems, especially dynamical and nonconvex supply chain and revenue management.
