Cheng Ly

Associate Professor

Department of Statistical Sciences and Operations Research

Courtesy Appointment in Mathematics

Virginia Commonwealth University     

Grace E. Harris Hall 4126

My primary research area is computational neuroscience, focusing on the variability/fluctuations of cortical neural network activity and  dynamics with sensory inputs.  With theoretical investigations, there are mathematical issues in: developing numerical methods to solve probability density equations, large-scale (Monte-Carlo) simulations, as well as applied analysis to describe these complicated stochastic systems.  A variety of models are used for different purposes because there is a wide range of biological complexity.  I have worked on: noisy neural oscillators, spiking stochastic networks, detailed biophysical cellular modeling with an excursion to cardiac dynamics, and questions about coding of sensory signals.  See some current projects and publications.

Brief Biosketch

Courses Taught

Some online Comp Neuro resources

Current Students: Richard R. Foster (Ph.D.), Michelle F. Craft (Ph.D.), Morgan H. Jackson (Ph.D., co-advised)

Past Students: Maurice L. Brown (Ph.D.), Kyle P. Wendling (Ph.D.), Tamar Melman (Udgrd, CMU), Adam Burch (Udgrd, Pitt), Lauren Crow (Undgrd, VCU), Caroline Failon (Udgrd, W&M)

VCU has a SIAM Student Chapter.  I am currently the faculty advisor, email me if you are intersted in participating!

Considering a Ph.D. in Applied Mathematics?  VCU has a Ph.D. program in Systems Modeling and Analysis.  See for more information.

Twitter Handle: @cheng_ly_

GitHub with software used in our publications

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