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He graduated with honors from MSU in 2017. He defended his Ph.D. dissertation on methods of effective implementation of topic modeling with additive regularization in 2020, candidate of technical sciences. He is an author of more than 8 scientific papers on topic modeling. He is one of the authors of open-source topic modeling library bigartm.

Professional interests: topic modeling, parallel algorithms for topic modeling, semantic text representation.