Chengcheng Huang is an assistant professor of neuroscience and mathematics at the University of Pittsburgh. She received her B.S. in mathematics from Nanjing University in China and her Ph. D. in computational biology/mathematics from New York University advised by John Rinzel. She then completed her postdoctoral training with Brent Doiron at the University of Pittsburgh. In 2019, she joined the faculty at the University of Pittsburgh. Huang received the Swartz Foundation Fellowship for Theory in Neuroscience in 2017.
Huang’s lab develops theoretical approaches to understanding circuit dynamics and information processing in sensory systems. Her interests focus on understanding how different task and stimulus contexts change neuronal responses. The brain flexibly changes neural activity patterns in response to input stimuli depending on behavior contexts. By studying the circuits mechanisms underlying correlated neural variability, Huang aims to identify possible neuromodulatory mechanisms to account for the observed contextual changes in population responses. She also investigates how changes in population activity affect information processing in neural circuits.