Lewis Hall #230D
shlizee (at) uw.edu
Data-driven dynamical systems
Inference problems for network architecture
Modeling neuronal dynamics
Eli Shlizerman completed a B.Sc degree in Mathematics and Computer Science (magna cum laude) in 2002. He was awarded an M.Sc and Ph.D degrees in Applied Mathematics from the Weizmann Institue of Science in 2005 and 2009 respectively.
The research in Shlizerman's group combines dynamical systems theory with data analysis to produce realistic data-driven dynamical models. In particular, the focus is on developing methods for inference of network architecture and modeling dynamics of networks. Our investigations are at the interface of development of generic computational approaches and modeling actual biological and physical systems.
With the data-driven methodology the group is working on modeling neurobiological networks underlying insects' sensory systems and neural dynamics of simple organisms.