Danica Sutherland
Also known as Danica J. Sutherland
Danica Sutherland is a machine learning researcher whose work spans generative modeling, optimal transport and language models. She completed a computer science Ph.D. at Carnegie Mellon in 2016, then worked at the Toyota Technological Institute at Chicago and the Gatsby Computational Neuroscience Unit before joining UBC in December 2020. She coauthored POT, an open-source optimal transport toolbox, and her 2025 ICLR paper on LLM fine-tuning won an Outstanding Paper award. As of October 2026, she is an associate professor in UBC Computer Science.
Timeline
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2011
A Swarthmore B.A. thesis
At Swarthmore College's Computer Science Department, she writes a B.A. thesis, Integrating Human Knowledge into a Relational Learning System, in 2011.
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2016
A PhD at Carnegie Mellon
At Carnegie Mellon's Computer Science Department, she completes a Ph.D. with Jeff Schneider in 2016 and writes Scalable, Flexible, and Active Learning on Distributions.
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2016
Optimized MMD for GANs
In 2016, she coauthors an arXiv paper that optimizes a maximum mean discrepancy test and applies the method to generative adversarial networks.
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December 2020
Joining UBC Computer Science
Before UBC, she holds positions at the Toyota Technological Institute at Chicago and the Gatsby Computational Neuroscience Unit at University College London. In late December 2020, she moves to Vancouver and begins an assistant professorship in UBC Computer Science.
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2021
A Canada CIFAR AI Chair
In 2021, she becomes a Canada CIFAR AI Chair through the Pan-Canadian AI Strategy and affiliates with Amii and UBC Computer Science.
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2021
POT for optimal transport
In 2021, she coauthors POT, an open-source Python toolbox that implements optimal transport methods for machine learning.
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2025
An ICLR Outstanding Paper
With Yi Ren, she studies how training examples shape predictions on other responses during LLM fine-tuning and offers an explanation for some hallucinations that strengthen after tuning. The paper describes the direct preference optimization (DPO) squeezing effect and wins an ICLR Outstanding Paper award in 2025.
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As of October 2026
Associate Professor at UBC
As of October 2026, she is an associate professor in UBC Computer Science.
Career
- Since 2020University of British ColumbiaAssistant Professor
- From 2021AmiiAffiliate
Education
- 2016Carnegie Mellon UniversityPh.D.
- 2011Swarthmore CollegeB.A.
Sources and credits
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- Danica J. Sutherland
- Generative Models and Model Criticism via Optimized Maximum Mean Discrepancy
- New Assistant Professor blends machine learning and stats
- Danica J. Sutherland — Alberta Machine Intelligence Institute
- New talent at UBC grows B.C.’s AI research expertise
- POT: Python Optimal Transport
- Learning Dynamics of LLM Finetuning
- Announcing the Outstanding Paper Awards at ICLR 2025
- Danica Sutherland | Computer Science at UBC





