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David Duvenaud

Investor

Professor of Computer Science and Statistics at Propagator Ventures

Toronto, Ontario, Canada

Find your path to David

763 people in our graph share verified history with David — schools, employers, funds. One of them is your warm intro.

Cat WuunlockedDavid: together at Anthropic (2024)
David: together at Harvard University
×4David: together at University of Cambridge
×6David: together at Anthropic

About

Professor of computer science and statistics at the University of Toronto and founding member of the Vector Institute; previously at Anthropic, Cohere and Google Brain, and co-founder of Fable Therapeutics and Invenia, specialising in machine learning methods.

Experience

  1. University of TorontoAssociate Professorcurrent2016 — presentToronto, Canada Area
  2. AnthropicTeam Lead2023 — 2024Toronto, Ontario, Canada
  3. Harvard UniversityPostodctoral Fellow2014 — 2016
  4. Max Planck Institute for Intelligent SystemsVisiting Researcher2012Tübingen, Germany
  5. Google ResearchSoftware Engineering Intern2010 — 2011
  6. InveniaCofounder, Director of Research2006 — 2010Winnipeg, Manitoba, Canada
  7. Frantic FilmsResearch Intern2004

Skills & more

LaTeX2Matlab9Machine Learning27Science4Algorithms13Statistics9Python12Mathematical Modeling2Computer Science7Research5Data Analysis5Pattern Recognition2
+5 moreConsultingSoftware EngineeringProbabilistic ModelsSolid Presentation SkillsArtificial Intelligence

Languages French

From David's professional profile.

Colleagues at Propagator Ventures

Frequently asked questions

Who is David Duvenaud?
Professor of computer science and statistics at the University of Toronto and founding member of the Vector Institute; previously at Anthropic, Cohere and Google Brain, and co-founder of Fable Therapeutics and Invenia, specialising in machine learning methods.
Where does David Duvenaud work?
David Duvenaud is Professor of Computer Science and Statistics at Propagator Ventures.
Where did David Duvenaud go to school?
David Duvenaud studied at University of Cambridge (Doctor of Philosophy (PhD), Machine Learning); The University of British Columbia (Master of Science (M.Sc.), Computer Science).

Same school

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