I am a tenure-track assistant professor in the Department of Biostatistics & Bioinformatics, Department of Computer Science, and Department of Electrical & Computer Engineering at Duke University. My research is centered around Machine Learning, with broad interests in the areas of Artificial Intelligence, Data Science, Optimization, Reinforcement Learning, High Dimensional Statistics, and their applications to real-world problems including Bioinformatics and Healthcare. My research goal is to develop computationally- and data-efficient machine learning algorithms with both strong empirical performance and theoretical guarantees.

Prior to joining Duke, I was a Postdoctoral Scholar Research Associate in the Department of Computing and Mathematical Science at the California Institute of Technology, working with Prof. Anima Anandkumar, Prof. Adam Wierman and Prof. Eric Mazumdar. I received my Ph.D. degree in the Department of Computer Science at the University of California, Los Angeles, where I was advised by Prof. Quanquan Gu.

[Prospective students] I am looking for highly motivated and self-driven students with strong mathematical backgrounds and/or programming skills in machine learning to work with me. Please apply to the Ph.D. programs in Biostatistics & Bioinformatics, Computer Science, and Electrical & Computer Engineering, and mention me in your applications. You can also fill out this form and send me an email with general questions on opportunities in my group. For students already at Duke, feel free to drop me an email or stop by my office for a chat.