HSE and Nazarbayev University: Scientific and Educational Cooperation

In April 2026, HSE University welcomed an official delegation from Nazarbayev University. The visit primarily focused on establishing cooperation between the two universities, expanding partnership ties, and developing joint projects in support of strengthening bilateral relations between Russia and Kazakhstan.
The meeting began with warm welcoming remarks from Elena Odoevskaia, HSE Vice Rector. She congratulated her colleagues from Astana on the upcoming holidays—Cosmonautics Day and Kazakhstan’s Science Workers’ Day (both celebrated on 12 April)—and noted that even before the official discussions began, it had become clear that the two young leading universities in their respective countries shared much in common.
‘Both HSE University and Nazarbayev University are leading scientific and technological centres addressing the pressing challenges of their nations. We share similar concepts and models of governance in science and education. Our countries are also actively cooperating, and it is especially encouraging that the largest group of international students at HSE University comes from Kazakhstan,’ Elena Odoevskaia remarked.

Kadisha Dairova, Vice President of Nazarbayev University, expressed her gratitude for the warm reception and shared her personal delight at the visit, noting that Moscow is her home city. She assured the hosts that Nazarbayev University would be pleased to welcome an HSE University delegation on a return visit and invited her colleagues to participate in the international conferences organised by the university throughout the year.
During the constructive dialogue, the two sides outlined key areas for future cooperation, placing particular emphasis on natural sciences, engineering, and technology. Elena Odoevskaia proposed exploring the establishment of a mirror physics laboratory, which would facilitate reciprocal internships for students and researchers, as well as academic exchange programmes. Mikhail Trunin, Dean of the HSE Faculty of Physics, supported the initiative, while representatives of Nazarbayev University also suggested considering the launch of joint double and multi-degree programmes.
Kadisha Dairova further proposed fostering cooperation between Nazarbayev University’s Institute of Smart Systems and Artificial Intelligence and HSE’s relevant academic divisions. The Kazakh delegation also highly praised the expertise of the HSE Graduate School of Business and expressed interest in joint work in management and business administration.
Following the official part of the meeting, the delegation from Nazarbayev University continued its introduction to HSE University by visiting the Faculty of Physics, where the guests toured the laboratories and discussed practical steps towards implementing joint research initiatives.
‘Today, we have not merely outlined plans—we have laid the foundation for a genuine academic friendship. Ahead of us lie exciting projects, the exchange of expertise, and shared discoveries for the benefit of science and education,’ Elena Odoevskaia concluded.
Participants of the Meeting
- Kadisha Dairova, Vice President for Student Affairs and International Cooperation at Nazarbayev University
- Kanat Baigarin, Advisor to the President of Nazarbayev University
- Kanat Abdrashitov, Advisor to the President of Nazarbayev University
- Alen Kuspanov, General Manager of the Department of Internationalisation at Nazarbayev University
- Elena Odoevskaia, HSE Vice Rector
- Mikhail Trunin, Dean of the HSE Faculty of Physics
- Kirill Kisel, Director for Internationalisation, HSE Department of Internationalisation
- Maria Mudretsova, Deputy Director for HSE Research Projects
- Ekaterina Popova, Chief Specialist of the International Partnerships Centre at the HSE International Cooperation Office
See also:
HSE Scientists Develop Method to Compress Large Language Models Without Losing Quality
Researchers from the AI and Digital Science Institute at the HSE Faculty of Computer Science have developed a new compression method for large language models such as GPT and LLaMA that reduces their size by 25–36% without additional training or significant loss of accuracy. This is the first approach to use mathematical transformations—specifically, rotations of model weights—to make models more amenable to compression with structured matrices. The study results have been published in ACL Findings 2025. The code is available on GitHub.
Machine Learning Models Can Help Reduce Volatility and Boost Stock Market Returns
The use of machine learning models makes it possible to achieve greater accuracy in predicting risks in the Russian stock market compared to classical econometric approaches. The predictive power of these models increases by 23%, while the average investor’s return can reach up to 13% per annum. These conclusions were drawn by Nikita Lysenok from the Department of Financial Market Infrastructure at the HSE Faculty of Economic Sciences. The paper has been published in Fundamental and Applied Mathematics.
HSE University at IRES 2026: Student Recruitment, Space Projects, and New Partnerships with India
The second Indo-Russian Education Summit (IRES 2026) took place in New Delhi on May 28–29. This year, the event brought together more than 70 leading Russian and Indian universities. Representatives from HSE University’s Moscow and St Petersburg campuses introduced prospective students to the university’s educational opportunities at the exhibition and shared their experience in developing Russian–Indian academic cooperation.
HSE Study Reveals Imbalance in the Generative AI Market
Researchers at HSE University analysed how effectively the global generative artificial intelligence market converts investment into real revenue, concluding that AI is currently developing faster than it is paying off. The results have been published in the journal Foresight and STI Governance.
HSE and Sultan Qaboos University: Expanding Academic and Research Partnership
In May 2026, a delegation from Sultan Qaboos University (Oman) made an official visit to HSE University. The main purpose of the meeting was to discuss new forms of cooperation and partnership and to identify areas of mutual interest. Representatives of HSE’s Moscow, St Petersburg, and Nizhny Novgorod campuses spoke about their shared interest in expanding joint projects, primarily in the field of artificial intelligence—a strategic development priority for both universities.
HSE and Peking University Expand Cooperation in Civil Society Research
A seminar involving Russian and Chinese scholars on cooperation between the state and non-profit organisations was held in Beijing. Participants discussed the evolution of institutions, cooperation practices, and challenges facing the development of the non-profit sector, and also presented the results of their research. The meeting concluded with agreements to expand joint projects and academic exchanges.
HSE to Bring Together Experts from World’s Leading Universities in St Petersburg
From May 18 to 22, 2026, HSE University–St Petersburg will become a hub of global academic dialogue. International Partners’ Week will bring together more than 100 delegates from 47 universities across 20 countries.
‘We Gain a Toolkit for Decision-Making in Various Business Contexts’
Madina Yessimova, from Kazakhstan, is a fourth-year bachelor’s student of Business Administration at the HSE Graduate School of Business. In her interview with the HSE News Service, Madina talks about her drive to study abroad and how it led her to HSE, her research on entrepreneurial activity in Kazakhstan and Russia, and her experiences representing the Kazakhstani community in Russia.
HSE and Peking University Discuss Prospects for Expanding Cooperation
In Moscow, HSE University’s leadership met with a delegation from Peking University headed by its President, Gong Qihuang. During the meeting, the parties agreed to strengthen partnership between the two universities within the framework of the Cross Years of Russian–Chinese Cooperation in Education (2026–2027).
Teaching a Machine to Read the Past: HSE Develops Neural Network to Decipher Manuscripts
Diaries and letters are an invaluable resource for humanities scholars. But what can be done when the text is impossible to read? At the HSE Faculty of Humanities, this challenge has been translated into the language of mathematics: a team of philologists, historians, and machine learning specialists has created an information system that not only recognises illegible handwriting but also helps analyse archival content.


