Brief Bio

I am a postdoc in Computational Pathology at Harvard Medical School. Previously I was a postdoctoral fellow in the Department of Statistics at the University of Washington supported by the NSF Mathematical Sciences Postdoctoral Research Fellowship. I received a PhD in statistics from the University of North Carolina at Chapel Hill where I was advised by Shankar Bhamidi and J.S Marron.

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

Representative work