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

cdise-research-directions-2 The core research areas include but are not limited to:

  • Machine Learning, Deep Learning, and Artificial Intelligence
  • Computational Soft Matter and Complex Systems
  • Efficient numerical algorithms
  • Quantum Enhanced Computation and Simulations
  • High-Performance Computing (HPC)
  • Internet of Things (IoT)
  • Computer Vision, Robotics, and Visual Analytics
  • Biomedical Analytics and Systems
  • Digital Agronomics & Pharmaceutical Design
  • Chemo-informatics
  • Natural Language Processing (NLP)

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


We have a number of jobs in the fields of Mathematics, Statistics, and Machine learning. For more details, please refer to the Vacancies page.