CV

Scientific interests

Computational/mathematical neuroscience – neural networks dynamics, Parkinson’s disease, neural oscillations, MEG and LFP data analysis, point process GLMs (= Hawkes processes = spiking networks with adaptation), error based (supervised) and non-error based (reinfocement) learning, motor adaptaion, basal ganglia models, cerebellum models

Dynamical systems – chaos/ergodic theory, random perturbations, shadowing properties, structural and stochastic stability, coupled map lattices, numerical methods, theormodynamical formalism, fractals

Probability Theory – Hawkes (self-exciting) point processes, Markov chains, PDMP

Mathematical physics – statistical physics, nonequilibrium thermodynamics, linear response, stochastic field theory

Awards and individual grants

• Marie Curie Individual Fellowship “OSCBAGDIS”, 2019-2021

• “Presitge COFUND” postdoc cofunding fellowship, 2015-2016

• LabEx Archimede postdoc fellowship, 2015-2016

• Rokhlin scholarship from the Saint Petersburg Mathematical Society, 2014

• Russian government scholarship for PhD students, 2013-2014

• Scholarship for a visit to International Congress of Mathematicians 2014

• Scholarship for a 2014 graduate summer program in Insituto de Matematica Pura e Aplicada

• Chebyshev Laboratory fellowship, 2011-2014

• Travel grant from the Russian Foundation for Basic Research, 2012

• International Conference of Young Scientists (ICYS) – Stuttgart, Germany, 2006, 1st diploma

• Baltic Science and Engineering Fair (Baltic SEF) – Saint Petersburg, Russia, 2006, 1st diploma

• Saint Petersburg Higher Educational Institutions Mathematical Olympiad, 2006, 2nd diploma