## About Me

I am a second-year Ph.D. student in Applied Mathematics at the University of British Columbia, being advised by Ozgur Yilmaz and Yaniv Plan. My research is in the area of compressed sensing, convex optimization and machine learning — comprising aspects of high-dimensional probability, random matrix theory, convex programming and geometric functional analysis.

I recently finished an internship as a Data Scientist for Awake Labs. My role with Awake Labs involved developing online algorithms for performing learning tasks on low-rank high-dimensional physiological data.

I completed my M.Sc. Mathematics in August 2014 at the University of Toronto. My supervisor was Dr. Adrian Nachman, under whom I researched fast computational methods in image processing with applications to medical imaging. Before that, I completed my B.Sc. in Mathematics & Statistics at McMaster Univeristy in Hamilton, Ontario.