Eli Shlizerman
Data driven Dynamical Systems

Eli Shlizerman

 Assistant Professor
 
E-mail:shlizeeuw.edu
Office:Lewis Hall, 230D
Phone:206 543 6658
Fax:206 685 1440
My research combines dynamical systems theory with data analysis to produce realistic data-driven dynamical models.

Investigations are at the interface of development of generic computational approaches and modeling actual biological and physical systems.

With the data-driven methodology I am working on modeling neurobiological networks underlying insects' sensory systems and neural dynamics of organisms.
Highlights:
       

       
       Connectome Inference,
       Fr. Comp. Neuro. 2014
Dynamic Stimuli,
Science 2014


C. Elegans Low Dim Dynamics, PRE 2014
more...
   Funding: Our research is supported by the National Science Foundation DMS/NIGMS Initiative at the Interface of Bio. and Math. Sciences.