CV

EDUCATION

University of Missouri-Columbia / Ph.D, Electrical Engineering (GPA: 4.0/4.0)
August 2004 – December 2009, Columbia, MO
Research areas: Computational neuroscience, Dynamical systems and controls, Learning and memory
Dissertation: Computational modeling of the fear circuit: a systems approach to understanding fear and anxiety disorders

State University of New York at Buffalo / Masters, Mechanical Engineering
August 2001 – September 2003, Buffalo, NY
Project: Application of model-error control synthesis to control a large pneumatic actuator system

Xiamen University / Bachelors, Automatic Control
September 1997 – July 2001, Xiamen, China

RESEARCH EXPERIENCE

University of North Carolina / Postdoctoral Research Associate
August 2014 – PRESENT, Chapel Hill, NC

Identified abnormal causal interactions of large-scale brain network in major depressive disorders using dynamic causal modeling of resting-state fMRI data
Classified major depression from normal controls using high-order functional connectivity and support vector machine
Developed an original multiscale neural model inversion (MNMI) framework to delineate aberrant circuit dynamics in major depression
Optimized multiscale neuronal models using genetic algorithm and expectation-maximization algorithm
Developed biophysical thalamocortical network models to elucidate the cellular and circuit mechanisms of brain oscillations
Studied the impact of brain stimulation on thalamocortical network dynamics

Cornell University / Postdoctoral Research Associate
January 2010 – July 2014, Ithaca, NY

Developed biophysically realistic computational models of neurons and networks in the olfactory bulb to understand odor information processing
Studied the biological mechanisms of odor object representation and recognition
Examined the neuromodulatory principles of olfactory computation

University of Missouri / Research Assistant
August 2004 – December 2009, Columbia, MO

Developed original computational models of neurons and networks in the amygdala to understand the neural mechanisms of fear learning
Evaluated the temporal difference model of classical conditioning
Investigated the neurobiological basis of optimal regulation of fear memory

GRANT

R03 Grant (DC013872, total direct cost: $300,000); PI: Guoshi Li 12/2014 – 11/2018
National Institute on Deafness and Other Communication Disorders (NIH/NIDCD) Dynamical Mechanisms of External Tufted Cells in Olfactory Information Processing

TEACHING EXPERIENCE

Mentor
University of North Carolina at Chapel Hill, Chapel Hill, NC 01/2015 – 05/2017
Mentored and advised an undergraduate trainee on modeling olfactory bulb networks

Guest Lecturer
University of North Carolina at Chapel Hill, Chapel Hill, NC Fall 2014 & Spring 2017
Gave lectures in compartmental modeling of neurons (Network Neuroscience by Dr. Fröhlich)

Teaching Assistant
University of Missouri-Columbia, Columbia, MO 2007-2009
Assisted in teaching computational neuroscience courses

SELECTED PUBLICATIONS (click here for full publication list)

Li G, Liu Y, Zheng Y, Li D, Liang X, Chen Y, Cui Y, Yap P, Qiu S, Zhang H, Shen D (2019) Large-scale dynamic causal modeling of major depressive disorder based on resting-state fMRI. Human Brain Mapping 1-17.
Li G, Liu Y, Zheng Y, Wu Y, Yap P, Qiu S, Zhang H, Shen D (2019) Identification of abnormal circuit dynamics in major depressive disorder via multiscale neural modeling of resting-state fMRI. International Conference on Medical Image Computing and Computer Assisted Intervention (MICCAI), Shenzhen, Oct 13-17, China.
Li G, Henriquez CS, Fröhlich F (2019) Rhythmic modulation of thalamic oscillations depends on intrinsic cellular dynamics. Journal of Neural Engineering 16: 016013.
Li G, Cleland TA (2017) A coupled-oscillator model of olfactory bulb gamma oscillations. PLoS Comput Biol 13(11): e1005760.
Li G, Henriquez CS, Fröhlich F (2017) Unified thalamic model generates multiple distinct oscillations with state-dependent entrainment by stimulation. PLoS Comput Biol 13(10): e1005797.
Li G, Linster C, Cleland TA (2015) Functional differentiation of cholinergic and noradrenergic modulation in a biophysical model of olfactory bulb granule cells. Journal of Neurophysiology 114: 3177-3200.
Li G, Cleland TA (2013) A two-layer biophysical model of cholinergic neuromodulation in olfactory bulb. The Journal of Neuroscience 33:3037–3058.
Sethupathy P, Rubin DB, Li G, Cleland TA (2013) A model of electrophysiological heterogeneity in periglomerular cells. Frontiers in Computational Neuroscience7:49.
Li G, Amano T, Pare D, Nair SS (2011) Impact of infralimbic inputs on intercalated amygdala neurons: a biophysical modeling study. Learning & Memory 18:226-240.
Li G, Nair SS, Quirk GJ (2009) A biologically realistic network model of acquisition and extinction of conditioned fear associations in lateral amygdala neurons. Journal of Neurophysiology 101:1629-1646.
Li G, Nair J, Quirk GJ, Nair SS (2008) Computational modeling: A tool for new psychiatric medication development. Psychiatric Annals 38(4):296-305.

PRESENTATIONS

105th RSNA Scientific Assembly and Annual Meeting, Chicago, USA, 2019 (Oral paper).
AChemS (Association for Chemoreception Sciences) XL conference, April 16-20, 2018, Bonita Springs, FL, invited symposium speaker.
The SfN Annual Meeting (2016, 2015, 2014, 2011, 2009, 2008, 2006; Poster).
American Control Conference, July 11-13, 2007, New York, NY (Talk).
ASME International Mechanical Engineering Congress and Exposition, Nov 5-11, 2006, Chicago, IL (Talk).
ASME International Mechanical Engineering Congress and Exposition, Nov 5-11, 2005, Orlando, FL (Talk).

AWARDS

Student Travel Award, Dynamic Systems and Control Division of ASME, American Control Conference, July 11-13, New York, NY, 2007.
Student Travel Award, Dynamic Systems and Control Division, ASME International Mechanical Engineering Congress and Exposition, Nov 5-11, Chicago, IL 2006.
Student Travel Award, Dynamic Systems and Control Division, ASME International Mechanical Engineering Congress and Exposition, Nov 5-11, Orlando, FL, 2005.

SKILLS

Biophysical and spiking neuronal models: NEURON, BRIAN, GENESIS
Machine learning: Supervised learning (regression, decision trees, random forests, SVM, KNN, deep learning), Unsupervised learning (PCA, K-means clustering, Hierarchical Clustering), Natural Language Processing (Basic), Time-series analysis
fMRI data analysis: SPM, Dynamic Causal Modeling, Connectome analysis
Dynamic systems and controls: Systems modeling, Linear and nonlinear analysis, Continuous and digital controls, Adaptive and robust control
Optimization: Gradient descent, Genetic algorithm, Expectation-Maximization
Statistics: ANOVA, Network-based statistics, Bayesian inference
Programming and software: Matlab, Python (Numpy, SciPy, Pandas, Scikit-Learn, Keras), C/C++, R, Assembly
High performance computing: Parallel programming, MPI, GPU, Cluster-based computing environment

HONORS

Top Downloaded Paper 2018-2019, Human Brain Mapping, Wiley.
RSNA Featured Article, 2019.

PROFESSIONAL MEMBERSHIP

Society for Neuroscience
American Physiological Society
Association for Chemoreception Sciences

REVIEW ACTIVITIES

Ad hoc manuscript reviewer, MICCAI 2019.
Ad hoc manuscript reviewer, PLOS Computational Biology, 2017, 2018
Ad hoc manuscript reviewer, Journal of Computational Neuroscience, 2012, 2017
Ad hoc manuscript reviewer, Journal of Neurophysiology, 2017
Ad hoc manuscript reviewer, PLOS ONE, 2017
Ad hoc manuscript reviewer, Neural Processing Letters, 2017
Program committee, International Conference on Informatics in Control, Automation and Robotics 2016, 2017, 2018
Ad hoc manuscript reviewer, Biomarker Insights, 2015
Ad hoc manuscript reviewer, Pharmacology Research & Perspectives, 2015
Ad hoc manuscript reviewer, Neurocomputing, 2013
Ad hoc manuscript reviewer, Journal of Computer Science and System Biology, 2013

EMPLOYMENT AUTHORIZATION

Permanent resident (green card holder)