Recent publications include 'Getting aligned on representational alignment' (Transactions on Machine Learning Research, 2025), 'Not all solutions are created equal: An analytical dissociation of functional and representational similarity in deep linear neural networks' (ICML, 2025), etc.; Organized multiple workshops such as 'Data on the Brain & Mind' at NeurIPS 2025; Delivered talks or moderated sessions at various international conferences.
Research Experience
Assistant Professor / Faculty Fellow at the Center for Data Science at New York University; In Fall 2026, 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.
Background
Research interests include studying learning in minds, brains, and machines using a combination of behavioral experiments, computational simulations, and analytical techniques.
Miscellany
Pronouns: she/her; Actively recruiting for her lab.