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Welcome to the TRANSCEND Lab! My name is Guoshi Li and I am an Assistant Professor in the Department of Radiology at the University of North Carolina at Chapel Hill, one of the oldest and finest public universities in the U.S.  I am also affiliated with Biomedical Research Imaging Center (BRIC) at UNC. Here is a copy of my CV.

My research interests focus on computational neuroscience, neuroimaging modeling, neural dynamics and coding, machine learning and brain stimulation.  My current research projects involve developing and refining a Multiscale nEural Model Inversion (MEMI) framework to identify disrupted circuit interactions and understand the underlying pathophysiological mechanisms of Alzheimer’s disease (AD), major depressive disorders (MDD) and epilepsy. I was recently awarded a NIH-R21 grant (total direct cost: $275,000) to apply a data-driven neural model to accurately predict individualized excitation-inhibition imbalance in Alzheimer’s Disease.

My previous research involved examining the neural mechanisms of fear learning, neuromodulatory principles of olfactory coding and circuit mechanisms and rhythmic modulation of thalamocortical oscillations. In the long run, I hope to integrate computational neuroscience, neuroimaging with machine learning to gain a better understanding of brain cognitive function/dysfunction and develop more effective diagnosis and treatment strategies for neurological and psychiatric disorders.

I obtained my Ph.D in electrical engineering from University of Missouri – Columbia and my Ph.D dissertation is on “Computational modeling of the fear circuit: a systems approach to understanding fear and anxiety disorders”.  I got my Master in mechanical engineering from SUNY-Buffalo and Bachelor in automatic control from Xiamen University.  Prior to joining UNC, I performed research on olfactory information processing as a postdoctoral fellow at Cornell University.  In 2014, I was awarded a NIH/NIDCD R03 grant as a PI (total direct cost: $300,000) to conduct computational and theoretical research on olfaction.