I am an Assistant Professor in the Departments of Psychology & Computing Science at the University of Alberta and a Fellow at the Alberta Machine Intelligence Institute (Amii).
Research summary: I study learning in minds, brains, and machines using a combination of behavioural experiments, computational simulations, and analytical techniques. See my research page for more.
Here is a more formal bio that can be used to introduce me.
I am actively recruiting for my lab at all levels for a 2027 start; please see my university page for more details!
Recent News
I will attend the Conference on Cognitive Computational Neuroscience (CCN) in New York to present a poster, keynote a K&T, represent the CCN TPC as chair, and say goodbye to NYC π₯Ή
I was named a Canada CIFAR AI Chair and a CIFAR Azrieli Global Scholar in the Learning in Machines & Brains program. π
π§ ππ€ The workshop on Representational Alignment is back at ICLR 2026!!
The 4th edition of the Summer School on Analytical Connectionism focusing on language acquisition will take place in Sweden in beautiful Gothenburg. Applications to participate are open now!
I attended NeurIPS 2025 in San Diego! I finally learned to prebook meetings (serendipity doesnβt scale). This was my 3rd year serving on the NeurIPS Organizing Committee, and I also spoke at CogInterp and co-organized Data on the Brain & Mind.
I was named a Rising Star of Neuroscience by The Transmitter.
π§ π Our workshop on Data on the Brain & Mind will appear at NeurIPS 2025! See you there :).
The 3rd edition of the Summer School on Analytical Connectionism took place in London.
I attended the Conference on Cognitive Computational Neuroscience (CCN) in Amsterdam to present a poster, moderate a GAC, host a hackathon, represent the CCN TPC, and talk science with many awesome people.
I gave a lecture + tutorial session on representational alignment at the July Cognition Academy of the Max Planck School of Cognition.
Recent Publications
For a complete list, see my research page or my CV.
In ICML 2026 Workshop on Weight-Space Symmetries (WSS @ ICML 2026), 2026.
Oral presentation.
In Proceedings of the International Conference on Machine Learning (ICML), 2025.
Spotlight presentation (<3% of submissions).