I'm an assistant professor at the University of Toronto, in both Computer Science and Statistics. Previously, I was a postdoc in the Harvard Intelligent Probabilistic Systems group, working with Prof. Ryan Adams on model-based optimization, synthetic chemistry, Bayesian numerics, and neural networks. I did my Ph.D. at the University of Cambridge, where my advisors were Carl Rasmussen and Zoubin Ghahramani. My M.Sc. advisor was Kevin Murphy at the University of British Columbia, where I worked mostly on machine vision. I spent a summer at the Max Planck Institute for Intelligent Systems, and the two summers before that at Google Research, doing machine vision. I co-founded Invenia, an energy forecasting and trading firm where I still consult.