website picture
Erin Grant
she / her

I am a Senior Research Fellow at the
Gatsby Computational Neuroscience Unit & Sainsbury Wellcome Centre
at University College London (UCL).

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.

Recent News

Sep 2024

Leon’s paper on an analytical model of neural receptive fields was accepted to NeurIPS as a spotlight presentation! 🎉 See you in Vancouver in December at the main conference, WiML and UniReps.

I am serving as a DEI Chair again at ICLR 2025, this year alongside Pablo Samuel Castro.

Aug 2024

I am serving as an area chair for ICLR 2025.

Jul 2024

📚 Like last year, I co-taught a module on dynamical systems with Clémentine Dominé as part of the Gatsby Bridging Programme.

I lectured at the OxML Summer School in Oxford…

Jun 2024

…and the ABC Summer School on NeuroAI at the University of Amsterdam!

May 2024

🧠💭🤖 We’re running a workshop on Representational Alignment at ICLR! Please consider attending on May 11th (the ICLR workshops day) in Vienna to see the lineup of invited talks and contributed presentations.

I am serving as a DEI Chair at ICLR 2024 alongside Rosanne Liu. Send us your thoughts on inclusion efforts, Tiny Papers, and anything else; we read every email!

Apr 2024

I am serving as an area chair for NeurIPS 2024.

Recent Publications

For a complete list, see my research page or my CV.

Nonlinear 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).
Bayes in the age of intelligent machines.
Bayes in the age of intelligent machines.
Thomas L. Griffiths, Jian-Qiao Zhu, Erin Grant, R. Thomas McCoy.
In Current Directions in Psychological Science 33: 5, 2024.
The transient nature of emergent in-context learning in transformers.
The transient nature of emergent in-context learning in transformers.
Aaditya K. Singh*, Stephanie C.Y. Chan*, Ted Moskovitz, Erin Grant, Andrew Saxe, Felix Hill.
In Advances in Neural Information Processing Systems (NeurIPS), 2023.
Gaussian process surrogate models for neural networks.
Gaussian process surrogate models for neural networks.
Michael Y. Li, Erin Grant, Thomas L. Griffiths.
In Proceedings of the Conference on Uncertainty in Artificial Intelligence (UAI), 2023.

Recent Service

2025
Technical Program Committee Member
CCN
2024, 2025
Diversity, Equity, & Inclusion Chair
2024
Co-organizer
2024
Co-organizer
2024—
Action Editor
2022—
Area Chair
2022—2025
Director
2022–2024
Mentor & Placement Host