My name is Muhammad Maaz (people just call me Maaz). I am an MD/PhD student at the University of Toronto. I am interested in applications of quantitative methods (mathematics, economics, computer science) to medicine. I am currently deciding on my PhD focus.

I started my research career as a research assistant at the McMaster Department of Health Evidence, Methods, and Impact (previously called the Department of Biostatistics) where I worked on systematic reviews and meta-analyses in medicine. I later joined the Department of Economics at McMaster, where I did research on healthcare operations management. At the Center of Economics and Health Policy Analysis, I explored machine learning methods to model the onset of geriatric depression.

Most recently, I did my bachelor's thesis with the Dept. of Economics at McMaster in the field of game theory, specifically matching theory and mechanism design, where I explored real-world constraints and their effect on the properties of the Gale-Shapley deferred acceptance algorithm in the context of the Canadian medical residency match.

In my free time I love reading and powerlifting.