James Requeima
Scholar

James Requeima

Google Scholar ID: fyYPWBsAAAAJ
University of Toronto
Machine Learning
Citations & Impact
All-time
Citations
1,368
 
H-index
14
 
i10-index
16
 
Publications
20
 
Co-authors
6
list available
Resume (English only)
Academic Achievements
  • Published 'End-to-end data-driven weather forecasting' (Nature, 2025); Contributed to research on estimating interventional distributions with uncertain causal graphs through meta-learning.
Research Experience
  • Currently a research scientist at Google DeepMind in Montreal, Canada; Previously a postdoctoral fellow at the University of Toronto and the Vector Institute; Tenured member of the Department of Mathematics at Dawson College in Montréal.
Education
  • PhD in Machine Learning from the University of Cambridge, supervised by Dr. Richard Turner; Visiting student at MILA under the supervision of Yoshua Bengio; Master's in Machine Learning, Speech, and Language Technology from the University of Cambridge, supervised by Dr. Zoubin Ghahramani FRS; Master's in Mathematics from McGill University, supervised by Dani Wise FRS.
Background
  • Interested in meta-learning, neural processes, and using LLMs for probabilistic regression. Previously a postdoctoral fellow at the University of Toronto and the Vector Institute.
Miscellany
  • Specialized in geometric group theory, combinatorial group theory, and algebraic topology; Maintains a website for CEGEP-level materials and online resources; Taught previous courses.