Welcome to CDISE!


Skoltech Center for Computational and Data-Intensive Science and Engineering (CDISE) aims at the conduction of cross-cutting interdisciplinary research driven by modern applications in the fields of computational and data sciences. Counting 30 professors, 50+ researchers, 110+ PhD students, and 230+ MSc students, CDISE has accumulated various research groups with the expertise unique in Russia and competitive at the world level in their prospective areas. The Center is actively involved in collaboration with other Skoltech CREIs to provide expertise on data-intensive computational tasks.

The Center holds leading positions in Big Data processing, Machine Learning, and Artificial Intelligence – from theoretical foundations to application in various fields including supercomputer or High-Performance Computing (HPC) infrastructure. Find out more.

Another significant part of CDISE is the Center of Excellence (CoE) in Wireless Technologies and the Internet of Things under the National Technology Initiative (NTI). The CoE develops a cross-cutting WT or IoT technologies used for a multitude of purposes in a spectrum of diverse markets in Russia, such as the power sector, industries, healthcare, agriculture, etc. Find out more.

Educational programs

CDISE powers 2-year MSc programs and 4-year PhD program at Skoltech:

Research areas and groups


Find out more about CDISE research groups:

  1. Advanced Data Analytics in Science and Engineering (ADASE), Prof. Evgeny Burnaev
  2. Artificial Intelligence in Dynamic Action, Prof. Pavel Osinenko
  3. Advanced Multiscale Modeling Laboratory, Prof. Nikolay Brilliantov, Prof. Alexey Vishnyakov, Prof. Vladimir Palyulin
  4. Applied Information Theory Group, Prof. Alexey Frolov
  5. Computational Imaging, Prof. Dmitry Dylov
  6. Computational Molecular Science, Prof. Maxim Fedorov
  7. Computer Vision, Prof. Victor Lempitsky
  8. Digital Agriculture, Prof. Ivan Oseledets and Prof. Maria Pukalchik
  9. High-Performance Computing (HPC), Prof. Sergey Rykovanov
  10. iMolecule, Prof. Petr Popov
  11. Internet of Things (IoT) Lab, Prof. Dmitry Lakontsev
  12. Laboratory of Applied Research Skoltech-Sberbank (LARSS), Dr. Alexey Zaytsev
  13. Laboratory “Tensor networks and deep learning for application in data mining”, Prof. Andrzej Cichocki
  14. Machine Learning and Algorithms in Bioinformatics, Prof. Dmitry Yarotsky, Dr. Gregory Kucherov
  15. Mass Spectrometry Lab, Prof. Evgeny Nikolaev, Prof. Yury Kostryukevich
  16. Mobile Robotics Lab, Prof. Gonzalo Ferrer
  17. Multidimensional Inverse and Ill-posed Problems (MIIP), Prof. Nikolay Koshev
  18. Natural Language Processing, Prof. Alexander Panchenko
  19. Scientific Computing, Prof. Ivan Oseledets
  20. Statistical Machine Learning, Prof. Maxim Panov
  21. Structural Learning Group, Prof. Vladimir Spokoiny
  22. Wireless Sensing, Prof. Andrey Somov