David Duvenaud

Assistant Professor
Pratt Building | 6 King's College Road | Room: PT 384 // Sidney Smith Hall | 100 St. George Street | Room: SS 6028



Department of Computer Science, University of Toronto

Fields of Study

Areas of Interest

  • Machine Learning
  • Approximate Bayesian Inference
  • Generative Models


David Duvenaud is an assistant professor in computer science and statistics at the University of Toronto. He holds a Canada Research Chair in generative models. His postdoctoral research was done at Harvard University, where he worked on hyperparameter optimization, variational inference, and chemical design. He did his Ph.D. at the University of Cambridge, studying Bayesian nonparametrics with Zoubin Ghahramani and Carl Rasmussen. David spent two summers in the machine vision team at Google Research, and also co-founded Invenia, an energy forecasting and trading company.