David Duvenaud

David Duvenaud's work experience includes being an Assistant Professor at the University of Toronto since 2016. David is also a cofounder and the Director of Research at Invenia, a machine learning research consulting company that they co-founded in 2006. At Invenia, they recruited, trained, and supervised research assistants and consultants, and also secured research funding grants through drafting and presenting proposals. Prior to their current roles, they were a Postdoctoral Fellow at Harvard University from September 2014 to June 2016. David also worked as a Visiting Researcher at the Max Planck Institute for Intelligent Systems in May 2012. David started their career as a Software Engineering Intern at Google Research, where they applied machine vision methods to content-based video classification problems and contributed to the development of the DistBelief framework, a distributed deep learning framework. David began their career as a Research Intern at Frantic Films in 2004.

David Duvenaud completed their education at the University of Cambridge, where they obtained a Doctor of Philosophy (PhD) in Machine Learning from 2010 to 2014. Prior to that, they attended The University of British Columbia (UBC) from 2008 to 2009, where they completed their Master of Science (M.Sc.) in Computer Science.