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.