He is a recipient of the JP Morgan Faculty Research Fellow Award, the Microsoft PhD fellowship award, and the David R. Cheriton fellowship award.

He is broadly interested in data management systems and machine learning. In particular, he focuses on (1) how to leverage advanced machine learning techniques to solve hard and practical data management problems, such as large-scale data integration; and (2) how to build data management systems to tackle the common pain points in practical machine learning, such as the lack of high-quality labeled data.