Kimberly Stachenfeld
Columbia University and Google DeepMind
Biography
Kimberly Stachenfeld is senior research scientist at Google DeepMind and affiliate faculty at the Center for Theoretical Neuroscience at Columbia University. Her work spans neuroscience and machine learning: on the neuroscience side she studies how animals build and use models of their world to support memory and prediction, and on the machine-learning side she develops deep-learning models that implement these cognitive functions. The lab bridges these strands to ask how predictive representations and other model-based components of cognition can both explain biological behaviour and improve artificial agents.
Research Interests
- predictive representations
- reinforcement learning
- hippocampal coding
- successor representations
- spatial cognition
SCENE Teams
Featured Publications
The Simons Collaboration on Ecological Neuroscience: Studying how the brain interacts with the world
Angelaki DE, Batista A, Fitzgerald T, Kominsky JF, Lengyel M, Mathis A, Mathis MW, Moss CF, Niell CM, Noel JP, Pitkow X, Rothkopf CA, Savin C, Stachenfeld K, Suthana N, Tolias A, Ulanovsky N, Wolpert DM, Wong A, Zimmermann J
Neuron, 2026 · DOI (opens in new tab) · Preprint (PDF) (opens in new tab)