Brief Bio

I am a Neyman Visiting Assistant Professor in the Department of Statistics at UC Berkeley. Previously, I completed a postdoc in the Division of Computational Pathology at Brigham and Women's Hospital/Harvard Medical School and a NSF Mathematical Sciences Postdoctoral Research Fellowship in the Department of Statistics at the University of Washington. I received my PhD in Statistics from the University of North Carolina at Chapel Hill.

I’m broadly interested in developing statistical/machine learning algorithms for data with a complex structure such as networks, images, and multi-modal data. My research aims to solve challenging computational and data analytic problems in biomedical sciences such as the analysis of very large scale medical images like whole slide images from Pathology. The computational arm of my work weaves together statistics, probability, optimization, deep learning, and software engineering. The scientific arm of my work investigates both basic science questions and clinical translational problems through intensive collaborations with doctors and domain scientists.

Representative work