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 and Honors

• 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
   
• 2016: 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.