معرفی
Dr. Chengcheng Huang is an Assistant Professor in the Department of Neuroscience and Mathematics at the University of Pittsburgh. She holds affiliations with the Center for Neuroscience, the Mathematics Graduate Program, and the Program of Neural Computation at the Center for the Basis of Neural Cognition. Her research focuses on computational modeling of neural networks, exploring circuit dynamics and information processing in sensory systems, particularly the role of neural variability in context-dependent responses. Huang's work is supported by grants from the NIH BRAIN Initiative, NSF CAREER Award, Simons Foundation, and PITT Momentum Scaling Award.
Education: PhD in Neuroscience from New York University (2015), B.Sc. in Mathematics from Nanjing University (2010). Postdoctoral training included roles at leading institutions. She teaches courses such as Applied Differential Equations and Introduction to Computational Neuroscience.
Her lab, the Huang Lab for Neural Dynamics and Computation, investigates neural variability in network models and its implications for neural coding. Current projects include studying functional roles of interneuron subtypes, attentional modulation, and synaptic plasticity. The lab actively recruits postdoctoral fellows, graduate students, and undergraduates.
Awards and recognition include prestigious grants and fellowships, reflecting her impactful contributions to computational neuroscience and mathematical biology.
