I am a tenure-track assistant professor in the Department of Biostatistics and Bioinformatics at Duke University. My research is centered around Machine Learning, which spans the areas of Artificial Intelligence, Data Science, Optimization, Reinforcement Learning, and High Dimensional Statistics. 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. At Caltech, I also work closely with 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.
[Fully funded PhD positions available] 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. If you are interested, please fill out this form and send me an email. For students already at Duke, feel free to drop me an email or stop by my office.