Shlizerman’s research focuses on analyzing complex dynamic networks, such as the nervous system. Typically, such networks are extremely challenging to study because of their complex structure and intricate time-dependent dynamics. To overcome these challenges, Shlizerman developed analysis methods that fuse data analysis with dynamical system theory, which uses various equations to determine the behavior of complex systems.
Congratulations to Eli, to UW EE, and to their chair Radha Poovendran for moving forward rapidly in key interdisciplinary areas! And thanks to the Washington Research Foundation, whose support of the UW eScience Institute contributed to this recruitment.
Read the UW EE announcement here.