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.

Focused on advanced software development methodologies, distributed systems, and machine learning applications. Completed thesis on scalable microservices architecture.

The main purpose of the School is to encourage the ideas exchange and scientific collaborations between Italian and Russian universities and institutions, in the fields of matrix methods and applied linear algebra. The school will take place during a whole month, two weeks in Moscow and two weeks in Rome, offering to young students a long time for learning and thinking over the arguments proposed, not limited to short courses and seminars. The school proposes advanced scientific topics and the opportunity of entering in direct contact with people and institutions of excellence in the field.

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.

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 https://vdjdb.cdr3.net/, resulting in a publication in Nature.

The main purpose of the School is to encourage the ideas exchange and scientific collaborations between Italian and Russian universities and institutions, in the fields of matrix methods and applied linear algebra. The school will take place during a whole month, two weeks in Moscow and two weeks in Rome, offering to young students a long time for learning and thinking over the arguments proposed, not limited to short courses and seminars. The school proposes advanced scientific topics and the opportunity of entering in direct contact with people and institutions of excellence in the field.

Moscow State University ranks among Russia's premier institutions, with the Faculty of Computational Mathematics and Cybernetics being one of its most distinguished departments, specializing in computational mathematics and cybernetics development.

AESC MSU is a prestigious boarding school affiliated with Moscow State University, consistently ranked among Russia's top educational institutions and frequently achieving first place in national school rankings.