Scholar
Chris J. Maddison
Google Scholar ID: WjCG3owAAAAJ
University of Toronto
Citations & Impact
Citations
23,018
H-index
30
i10-index
46
Publications
20
Co-authors
40
list available
Publications
Resume (English only)
Academic Achievements
- Tends to publish at machine learning conferences (NeurIPS, ICML, ICLR).
Research Experience
- Assistant Professor at the University of Toronto; CIFAR AI Chair at Vector Institute.
Background
- I study algorithms that learn to make good predictions in stubbornly complex settings. At the moment, my group is working on methods for AI in drug discovery, causal inference with natural language data, scaling dynamics of large language models, and data preparation.
Miscellany
- Interested in understanding how the statistical structure of real-world data influences the emergence of capabilities in AIs as they train on vast, heterogeneous datasets.
