I am a graduate student in Machine Learning at the University of Toronto and the Vector Institute. I am currently pursuing follow-up research to my work on Neural Ordinary Differential Equations, and am generally interested in approximate inference for latent variable models. My supervisors are Drs. David Duvenaud and Roger Grosse. I am the instructor for CSC412/2506: Probabilistic Learning and Reasoning.
MSc in Computer Science
University of Toronto, 2017-Present
MSc in Mathematics
University of Toronto, 2015-2016
BSc in Integrated Science and Mathematics
McMaster University, 2011-2015
I am currently teaching the following course at University of Toronto:
In the past I have taught the following courses at University of Toronto:
In the past I have been a teaching assistant for the following courses: