Kevin Zhang

I obtained my PhD from the Department of Statistical Sciences, University of Toronto. My current area of research is generative modelling and anomaly detection using optimal transport theory, stochastic differential equations and game theory. During my PhD study, I gained proficiency in multiple programming languages such as Python, R and MATLAB where I utilized popular libraries such as NumPy, Pandas, PyTorch and TensorFlow for multiple machine learning research projects in real-world datasets. I am also familiar with SQL, C++ and the Unix/Linux environment. Previously, I obtained my undergrad degree from University of Toronto with a specialist in pathobiology, a major in statistics and a minor in mathematics.