Lida Kanari

Lida Kanari is a PhD student in the Molecular Systems Section in the Simulation Neuroscience Division. Lida’s main focus is to understand the fundamental principles of neuronal morphologies in order to artificially reproduce them, so that they are statistically indistinguishable from the biological ones. She is developing tools based on mathematical principles such as Topology, Markov Models and Stochastic Processes to model and reproduce neuronal shapes. Lida has a MSc in Applied Mathematics and Physics and a MSc Computational Fluid Mechanics from the National Technical University of Athens, Greece.