The laboratory's goal is to conduct world-class research to solve fundamental scientific problems by developing modern approaches, methods, algorithms, and software for supercomputer modelling of complex physical systems, as well as other complex systems that can be described in the language of applied mathematics and related to fields such as mechanics, fluid dynamics, statistical mechanics, and quantum mechanics.
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On October 10, 2025, the International Faculty Support Centre welcomed newly hired international staff with the workshop ‘Getting the Most Out of Living and Working in Russia’.
Computational methods for analysing ancient and modern genomes make it possible to study the formation of genetic diversity in populations, reconstruct their history of mixing and migration, and trace the development of environmental adaptations. The HSE International Laboratory of Statistical and Computational Genomics applies mathematical methods and genetic data to address a wide range of issues across fields such as anthropology, epidemiology, and criminology. The HSE News Service spoke with the laboratory head, Vladimir Shchur, about its work.
This summer, Diana Sukhoverkhova, Daria Mazur, and David Kagramanyan, research assistants at the MIEM HSE Laboratory for Computational Physics, spent five weeks in China. At the Future Scientist Exchange Program (FuSEP) summer school in Hefei, they worked in new fields of science together with their Chinese colleagues. HSE's promising scientists spoke to the HSE News Service about their intense and productive time in China.
Experts in computer technology from HSE University and the Joint Institute for Nuclear Research (JINR) discussed collaboration and joint projects at a meeting held at the Meshcheryakov Laboratory of Information Technologies (MLIT). HSE University was represented by Lev Shchur, Head of the Laboratory for Computational Physics at the HSE Tikhonov Moscow Institute of Electronics and Mathematics (HSE MIEM), as well as Denis Derkach and Fedor Ratnikov from the Laboratory of Methods for Big Data Analysis at the HSE Faculty of Computer Science.