Science

The laboratory's research is focused on identifying, developing, and refining scientific methods for analysing large volumes of data, enabling the production of qualitatively new results for a given subject area. Specifically, the laboratory is interested in conducting joint research with organisations and individuals on the following topics:

• Generative modelling of physical processes in particle physics and beyond
• Analysis of industrial and financial time series, identifying anomalies and breakdown points
• Machine learning with additional structural and model information (PINN, GNN, and others) applied to medical, physical, and weather data
• Use of language models in industrial applications
• Application of computer vision to image processing of biological and technical objects and the construction of 3D models from the obtained data
• Robust deep learning models
• Sound processing
• Medical data analysis
• Application of DL in materials science and atomistic modelling

Members of the lab are grant holders from various government and non-government funding agencies including the Ministry of Science of the Russian Federation, the Russian Science Foundation, and the Russian Foundation for Basic Research.

We work closely with data providers including the Joint Institute for Nuclear Research, Pulkovo Astronomical Observatory, and medical institutions.