Brynn received her B.S. in Neural Science from New York University in 2016. She then completed her PhD in Psychology at Yale University, followed by a postdoctoral fellowship at the University of Pennsylvania. Brynn's work combines insights from human behavior, neuroimaging methods, and neural network models to answer questions broadly related to human learning, memory, and time perception. She is particularly interested in how the brain supports (and trades off between) the formation of unique, episodic memories and the abstraction of more general statistical regularities.

Awards, Honors and Recognition

2025: AI x Science Fellowship, University of Pennsylvania 
2023: National Science Foundation Social, Behavioral, and Economic Sciences Postdoctoral Fellowship 
2023: Data Driven Discovery Initiative Fellowship, University of Pennsylvania 
2021: Trainee Professional Development Award, Society for Neuroscience  
2017: National Science Foundation Graduate Research Fellowship 
2017: Sterling Prize Fellowship, Yale University 
2016: Albert Borgman Thesis Prize, New York University 2
016: Sherrington Award for Undergraduate Neural Science, New York University

Select Publications

Sherman, B. E., Turk-Browne, N. B., & Goldfarb, E. V. (2024). Multiple memory subsystems: Reconsidering memory in the mind and brain. Perspectives on Psychological Science, 19(1), 103-125. DOI. 

Sherman, B. E., & Turk-Browne, N. B. (2020). Statistical prediction of the future impairs episodic encoding of the present. Proceedings of the National Academy of Sciences, 117(37), 22760-22770. DOI.

Sherman, B. E., & Yousif, S. R. (2025). An illusion of time caused by repeated experience. Psychological Science, 36(4), 278-295. DOI.

Sherman, B. E., DuBrow, S., Winawer, J., & Davachi, L. (2023). Mnemonic content and hippocampal patterns shape judgments of time. Psychological Science, 34(2), 221-237. DOI.