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Research interests

Vladimir graduated from Lomonosov Moscow State University in 2007, where he received his PhD degree in 2010 in the field of Statistical and Polymer Physics studying phase transition phenomena in copolymer and polyelectrolyte systems. Later he moved to work on optimisation problems in systems with anomalous diffusion at the Technical University of Munich and University of Potsdam in Germany. The mail focus of the work was target search optimisation, first-passage and first-hitting properties. Before moving to Skoltech Vladimir worked at the University of Cambridge, UK developing a framework for prediction of mechanical properties of amorphous polymers from their microscopic structure. Vladimir has authored about 20 papers in peer-reviewed journals including a few of highly cited review papers and papers in the top journals like PNAS. During his work in Munich and Cambridge he actively participated in teaching of statistical physics and maths courses.

As a faculty member, Prof. V.V. Palyulin provides teaching at graduate level, advising student and innovation projects, and conducting application-oriented research.

His current research interests include various fields of statistical physics and stochastic processes research such as trajectory analysis, reinforcement learning for target search, anomalous diffusion and crowding problems.​


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