2015 Ph.D. in Mathematics, Saint Petersburg State University, Russia
2011 M.Sc. in Mathematics, Saint Petersburg State University, Russia
Computational/mathematical neuroscience – neural networks dynamics, Motor control (including motor adaptation), Parkinson’s disease, neural oscillations, MEG/EEG/LFP data analysis, point process GLMs (= Hawkes processes = spiking networks with adaptation), error based (supervised) and non-error based (reinforcement) learning, basal ganglia models, cerebellum models, NeuroAI, brain-computer interfaces
Machine Learning - multivariate time series, deep learning, RNN (and related sequence learning methods)
Dynamical systems – chaos/ergodic theory, random perturbations, shadowing properties, structural and stochastic stability, coupled map lattices, numerical methods, theormodynamical formalism, fractals, dynamical mode decomposition
Probability Theory – Hawkes (self-exciting) point processes, Markov chains, PDMP
Mathematical physics – statistical physics, nonequilibrium thermodynamics, linear response, stochastic field theory
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