[PDF] David Scott Krueger CV

David Scott Krueger david.scott.krueger@gmail.com
Assistant Professor: University of Montreal November 2024 –
Department of Computer Science and Operations Research
Quebec AI Institute (Mila)
Assistant Professor: University of Cambridge June 2021 – Sept 2024
Department of Engineering, Information Engineering Division
Computational and Biological Learning Lab (CBL)
Education University of Montreal / Mila, Montreal, QC, Canada
Ph.D., Computer Science, June 2022
• Thesis: AI Alignment and Generalization in Deep Learning
• Supervisor: Aaron Courville
• Committee: Yoshua Bengio, Roger Grosse, Guillaume Lajoie
M.Sc., Computer Science, Dec 2015
• Thesis: Designing Regularizers and Architectures for Recurrent Neural Networks
• Supervisors: Yoshua Bengio, Roland Memisevic
Reed College, Portland, OR, USA
B.A., Mathematics, May 2011
• Thesis: Extending the Critical Group to Oriented Matroids and Simplicial Complexes
• Supervisor: David Perkinson
Budapest Semesters in Mathematics, Fall 2009.
Grants and
Awards
• CIFAR AI Chair: 1,150,000 CAD 2025
• Schmidt Sciences: $300,000 2024
• IVADO professorship in Responsible AI: $500,000 CAD 2024
• Marshall School Distinguished Young Alumni Award 2023
• Open Philanthropy Project: $1,000,000 2022
• Survival and Flourishing Fund: $880,000 2021
• Open Philanthropy Project: $250,000 2021
• Long-Term Future Fund: $200,000 2021
• 1st place (judges) and 1st place (people’s choice): (Canada-wide) AI Can Trainee
3-Minute Impact Competition 2021
• Effective Altruism Foundation Fund: $10,000 2019
• Assisted in sourcing/writing Open Philanthropy Project grant to Mila: $2,400,000 2017
• NVIDIA Pioneering Research Award 2017
• University of Montreal Departmental Excellence Scholarship: $2,500 2016
• Most OpenReview comments at ICLR 2014
Other
Affiliations
• Research Affiliate: Center for the Study of Existential Risk (CSER) Feb 2022
– present
• External Associate Academic Member: Quebec AI Institute (Mila) Sept 2022
– Nov 2024
• Member: European Laboratory for Learning and Intelligent Systems (ELLIS)
Sept 2022 – present
• Affiliate: Center for Human Compatible AI (CHAI) Sept 2022 – present
• Member: Institute for Advanced Study (IAS) AI Policy and Governance
Working Group June 2023 – present
• Board Member: Center for AI Policy (CAIP) Jan 2024 – June 2025
• Fellow: The Alan Turing Institute March 2024 – present

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Professional
Experience
• Research Director: UK Frontier AI Task Force September 2023 – December 2023
Assisted in organizing the first global AI Safety Summit.
Co-authored “Frontier AI: capabilities and risks – discussion paper”.
Supervisor: Oliver Ilott
• Research Intern: DeepMind Feb-July 2018
Topic: Managing incentives of AI systems.
Supervisor: Jan Leike
• Research Intern: ElementAI Sept-Dec 2017
Topic: Normalizing flows and Bayesian deep learning.
Supervisor: Alexandre Lacoste
• Contract Researcher: Partnership on AI (PAI) Sept-Oct 2017
Synthesize academic and stakeholder views in 10-page safety-critical

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