I am a fifth-year PhD student in Statistics at Harvard University. My advisors are Xiao-Li Meng and Arthur P. Dempster.

My research interests lie at the foundation of statistical inference for reasoning under uncertainty. My work focuses on the theoretical, methodological and computational aspects of statistical modeling with random sets, imprecise probabilities, and specifically the Dempster-Shafer theory of belief function, as means to encode scientific knowledge that may be partially deficient, without having to invoke additional assumptions. My PhD dissertation is titled Statistical Learning with Imprecise Information.

I hold a Honours B.Sc. in cognitive psychology from the University of Toronto.  My undergraduate thesis, Conceptual Judgment and Decision Making in Scientific Problem Solving, was advised by Kevin N. Dunbar.