Competition of young
scientists of MSU

The purpose of the young scientists competition is to attract young and talented scientists conducting fundamental and applied research in the field of artificial intelligence, cognitive systems and the brain to MSU

April Reporting Conference of Young Scientists 2026

MODULE I. Engineering and natural science applications of AI

Boris P. Yakimov

Candidate of Physico-Mathematical Sciences, Junior Researcher at the Department of Quantum Electronics, Faculty of Physics, MSU

Study

Deep learning in the identification of new optical targets in the human body for the application of biophotonics technologies

Scientific supervisor
Evgeny A. Shirshin

MODULE II. Biomedical and chemical applications of AI

Evgeny P. Kazakov

Postgraduate student, Faculty of Biology, MSU

Study

Analysis of the reorganization of sister chromatids during segregation against the background of dysfunction of architectural chromatin proteins

Scientific supervisor
Igor I. Kireev
Andrey V. Bykov

Postgraduate student at the Faculty of Chemistry of MSU

Study

Design of hybrid halogenometallates using ML and DL methods to create new generation optoelectronic materials

Scientific supervisor
Шевельков Андрей Владимирович
Nikita S. Voloshin

Postgraduate student at the Faculty of Fundamental Medicine of MSU

Study

Deep learning methods for detecting cell nuclei on phase-contrast images in order to monitor cell population growth and automatic tracking of single cells

Scientific supervisor
Konstantin Y. Kulebyakin
Vitaly S. Bezuglov

Postgraduate student at the Faculty of Bioengineering and Bioinformatics of MSU

Study

Application of modern multimix data processing methods for predicting metabolic and reproductive health

Scientific supervisor
Oleg V. Sergeev
Yakov A. Pchelintsev

Candidate of Physico-Mathematical Sciences, specialist in the Laboratory of Mathematical Methods of Image Processing, Faculty of Computational Mathematics and Cybernetics, MSU

Study

Development of artificial intelligence methods for the detection and analysis of X-ray syndromes on chest X-rays in the computer diagnosis of pulmonary tuberculosis

Scientific supervisor
Andrey S. Krylov
Anne G. Soplenkova

Postgraduate student at the Faculty of Bioengineering and Bioinformatics of MSU

Study

Studying the genetic control of N-glycosylation of immunoglobulin G using machine learning methods

Scientific supervisor
Vasily E. Ramenskiy
Sergey V. Pushkarev

Postgraduate student at the Faculty of Bioengineering and Bioinformatics of MSU

Study

Application of machine learning methods in computational enzymology

Scientific supervisor
Andrey V. Golovin
Artem A. Mitrofanov

Candidate of Chemical Sciences, Senior Researcher at the Department of Radiochemistry, Faculty of Chemistry, MSU

Study

Development of algorithms for the directional design of materials for nuclear energy and nuclear medicine

Scientific supervisor
Stepan N. Kalmykov

MODULE III. Mathematical aspects of AI algorithms

Yuly A. Vasiliev

Postgraduate student at the Faculty of Computational Mathematics and Cybernetics of MSU

Study

Research and development of machine learning methods for survival analysis

Scientific supervisor
Michail I. Petrovsky

MODULE IV. Cognitive systems and the brain

Andrey A. Miroshnikov

Postgraduate student, Faculty of Biology, MSU

Study

Investigation of neurophysiological correlates of motor and tactile mental images

Scientific supervisor
Alexander Y. Kaplan
Anne A. Fedotova

Candidate of Biological Sciences, Junior Researcher at the Department of Biophysics, Faculty of Biology, MSU

Study

Astrocyte calcium code: development of intelligent analysis methods for deciphering functional plasticity of the brain

Scientific supervisor
Alexey R. Brazhe

MODULE V. Humanitarian and business aspects of AI application

Ilya N. Galushko

Postgraduate student at the Faculty of History of MSU

Study

Automating the process of annotating archived documents using Large Language models (LLM)

Scientific supervisor
Leonid I. Borodkin
Anton V. Kolotusha

Candidate of Economic Sciences, programmer of the 2nd category of the Laboratory of Information and Analytical Resources of the Faculty of Economics of MSU

Study

Classification of patient reviews of Russian clinics for management decisions in the field of healthcare system improvement using machine learning methods

Scientific supervisor
Irina E. Kalabikhina