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Postdoctoral researcher at BIASlab, Signal Processing Group in Eindhoven University of Technology. Collaborate with Delft university on AiMTT project for traffic management. Main maintainer of ReactiveBayes organization for open-source software for scalable and efficient Bayesian inference framework based on reactive message-passing.

Theory and practice sometimes clash. And when that happens, theory loses. Every single time. - Linus Torvalds

Finished my bachelor and master in Moscow State University. Conducted concurrent research at the Institute of Numerical Mathematics of the Russian Academy of Sciences, overlapping with both bachelor's and master's studies at Moscow State University. Contributed to a major collaborative project with Exxon Mobil on large-scale reservoir simulation and co-developed the INMOST C++ framework. In parallel, worked at Institute of Biorganic Chemistry. Contributed to a collaborative research project developing VDJdb, a curated database of T-cell receptor (TCR) sequences with known antigen specificities. The database facilitates access to information on T-cell receptor antigen specificities, specifically the recognition of epitopes in MHC contexts. Served as lead developer for VDJdb resulting in a publication in Nature. Completed PhD in December 2023 with research focused on message-passing based Bayesian inference techniques for large-scale signal processing problems. The primary research outcome was the development of a novel reactive message-passing framework, delivered as an open-source toolbox called RxInfer.jl. Currently a PostDoc in BIASlab at Signal Processing Group in Eindhoven University of Technology.