Kim Stachenfeld

Staff research scientist, Google DeepMind
Adjunct assistant professor, Columbia University

Kim Stachenfeld is staff research scientist at Google DeepMind and adjunct assistant professor at Columbia University’s Center for Theoretical Neuroscience. Her research bridges neuroscience and artificial intelligence, focusing on AI-inspired models of neural computation and the use of AI tools to understand brain data.

Stachenfeld earned her Ph.D. in computational neuroscience from Princeton University in 2018 and a B.S. in chemical and biological engineering and B.A. in mathematics from Tufts University in 2013. Her work has been featured in The Atlantic, Quanta Magazine, Nautilus and MIT Technology Review. In 2019, she was recognized by MIT Technology Review as one of its Innovators Under 35 for her research on predictive representations in the hippocampus.

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