I am an Assistant Professor in the Department of Statistical Sciences and Department of Computer and Mathematical Sciences, University of Toronto. Previously, I was an associate research scholar at Princeton University. I received my Ph.D. from University of North Carolina at Chapel Hill in 2014. I got my B.S. from University of Science and Technology of China in 2010.
As a statistical learner, I use statistics, machine learning, optimization and probability theory to address foundational and practical problems in data science, especially in health science. This research has the potential to revolutionize next-generation statistics and learning, and helps define data science. Most recently, I am interested in clustering, high-dimensional inference, manifold learning, nonconvex statistical optimization, robust learning, and microbiome data. Together with my collaborators, we are building the first publicly accessible and user-friendly microbiome data hub. I am also working towards my first book on statistical learning and data science.
Recent: Research day at http://www.fields.utoronto.ca/activities/18-19/stats-research-day
Office: 6027 Sidney Smith Hall