I'm a Machine Learning Research Team Lead at Borealis AI in Toronto, Canada. I obtained my PhD with the Probabilistic and Statistical Inference group at the University of Toronto, advised by Brendan Frey. My fundamental research interests are centered around message-passing algorithms, combinatorial optimization, variational inference, and graphical models. From an applications standpoint, I am passionate about problems in energy-efficient ML, where we work in resource-constrained settings such as mobile devices, and problems involving structure, where a representation has multiple components with dependencies between them. Prior to my PhD, I completed a M.A.Sc. from the University of Ottawa in 2011 and a B.Eng. Honours from McGill University in 2009, both in Electrical Engineering focusing on signal processing.
Optimization in Machine Learning
Energy and Computation