I am a Ph.D. student at MIT Statistics and Data Science Center, advised by Caroline Uhler. My research focuses on developing and applying machine learning methods such as manifold learning, deep learning, graphical models, and network analysis to high-throughput genomics data sets, with a special interest in understanding gene regulation. I often collaborate with biologists to design experiments.


Research Projects