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Software Panel
Ben Letham · David Duvenaud · Dustin Tran · Aki Vehtari

Fri Dec 07 11:30 AM -- 12:00 PM (PST) @
in All of Bayesian Nonparametrics (Especially the Useful Bits) »

Author Information

Ben Letham (Facebook)
David Duvenaud (University of Toronto)

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.

Dustin Tran (Google Brain)

Dustin Tran is a research scientist at Google Brain. His research contributions examine the intersection of probability and deep learning, particularly in the areas of probabilistic programming, variational inference, giant models, and Bayesian neural networks. He completed his Ph.D. at Columbia under David Blei. He’s received awards such as the John M. Chambers Statistical Software award and the Google Ph.D. Fellowship in Machine Learning. He served as Area Chair at NeurIPS, ICML, ICLR, IJCAI, and AISTATS and organized "Approximate Inference" and "Uncertainty & Robustness" workshops at NeurIPS and UAI.

Aki Vehtari (Aalto University)

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