Invited talk
in
Workshop: Machine Learning for Molecules and Materials

Automatic Chemical Design Using a Data-driven Continuous Representation of Molecules

David Duvenaud

2017 Invited talk
in
Workshop: Machine Learning for Molecules and Materials

Speaker

David Duvenaud

David Duvenaud is an assistant professor in computer science at the University of Toronto. His research focuses on continuous-time models, latent-variable models, and deep learning. His postdoc was done at Harvard University, and his Ph.D. at the University of Cambridge. David also co-founded Invenia, an energy forecasting and trading company.

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