website picture
Erin Grant
she / her

I am an Assistant Professor / Faculty Fellow at the
Center for Data Science at New York University.

Research summary: I study learning in minds, brains, and machines using a combination of behavioral 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.

In Fall 2026, I will join the Departments of Psychology & Computing Science at the University of Alberta as an Assistant Professor and the Alberta Machine Intelligence Institute (Amii) as a Fellow. I am actively recruiting for my lab; please see my university page for more details!

⚠️ I can no longer access my erin.grant@ucl.ac.uk email.

Recent News

Aug 2026

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 πŸ₯Ή

May 2026
Apr 2026

πŸ§ πŸ’­πŸ€– The workshop on Representational Alignment is back at ICLR 2026!!

The 4th edition of the Summer School on Analytical Connectionism focussing on language acquisition will take place in Sweden in beautiful Gothenburg. Applications to participate are open now!

Dec 2025

I attended NeurIPS 2025 in San Diego! I finally learned to prebook meetings (serendipity doesn’t 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.

Nov 2025

I was named a Rising Star of Neuroscience by The Transmitter.

Sep 2025

πŸ§ πŸ’­ Our workshop on Data on the Brain & Mind will appear at NeurIPS 2025! See you there :).

Aug 2025

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.

Jul 2025

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.

β€œParameter symmetries determine representational geometry in overparameterized nonlinear networks.”
Marvin Theiss, Lukas Braun, Andrew Saxe, Erin Grant.
In ICML 2026 Workshop on Weight-Space Symmetries (WSS @ ICML 2026), 2026.
Oral presentation.
β€œNot all solutions are created equal: An analytical dissociation of functional and representational similarity in deep linear neural networks.”
Lukas Braun, Erin Grant, Andrew Saxe.
In Proceedings of the International Conference on Machine Learning (ICML), 2025.
Spotlight presentation (<3% of submissions).
β€œNonlinear dynamics of localization in neural receptive fields.”
Leon Lufkin, Andrew Saxe, Erin Grant.
In Advances in Neural Information Processing Systems (NeurIPS), 2024.
Spotlight presentation (<4% of submissions).

Recent Service

2026
Technical Program Committee Chair
CCN
2026
Financial & Participation Chair
2025
Next Generation & Accessibility Chair
2026
Co-director
2025
Co-organizer
2024β€”
Action Editor
2023β€”
Area Chair
2022β€”2027
Director