Qiang Sun is an Assistant Professor of Statistics at the University of Toronto. Previously, he was an associate research scholar at Princeton University. He received his Ph.D. from University of North Carolina at Chapel Hill in 2014, and his B.S. from University of Science and Technology of China in 2010.
Qiang is interested in mathematics and practices of data science, broadly defined. He uses statistics, learning, optimization and probability theory to address fundamental problems in statistical learning and practical problems in health sciences. Most recently, he is interested in clustering, high-dimensional inference, manifold learning, nonconvex statistical optimization, robust learning, self-paced learning, with applications to neuroimaging genetics and microbiome data. Qiang is also interested in the interaction between statistics and engineering. He is currently working towards his first book on statistical learning and data science.