University of Guelph
I’m interested in machine learning theory, so that models can be deployed with confidence in practice. This has led me to take an inter-disciplinary approach, bridging information theory, statistical physics, and elements of electrical and computer engineering.
My current research interests are motivated by the “adversarial examples” problem, which limits opportunities for the responsible deployment of deep learning models in performance critical settings, e.g., commercial autopilots, or health care. More generally, I am interested in representation learning, and causal modeling.
Personal interests include electronics, traveling, cycling, and sailing.
|Nov 13, 2018||Work to appear in NIPS 2018 Workshop on Security in Machine Learning|
|Oct 24, 2018||I will review for the 36th International Conference on Machine Learning (ICML) 2019|
|Oct 9, 2018||I am now a reviewer for the International Journal of Computer Vision (IJCV)|