The Ilya Segalovich Scholarship

The Ilya Segalovich Scholarship was established in 2014 to support computer science students and postgraduates engaged in information technology at the Higher School of Economics.
The scholarship rewards achievements in academics and research. The scholarship committee includes faculty staff members and lead developers from Yandex.

Faculty of Computer Science of the Higher School of Economics

Faculty of Computer Science of the Higher School of Economics

The Faculty of Computer Science (FCS) opened in 2014. It trains developers, analysts and researchers as specialists in big data analysis and software engineering.

Yandex developed the concept of this faculty. Curricula are compiled by Yandex and HSE specialists, drawing on the experience of leading international universities and the Yandex School of Data Analysis.

Faculty graduates solve challenges across a number of industries or pursue academic careers. There is a vast scope of applications for their knowledge: software development and machine learning, natural language processing and computer vision, bioinformatics and high energy physics, modeling of complex systems and theoretical computer science.

Award recipients

2020
2019
2018
2017
2016
2015
Aibek Alanov
Aibek Alanov
Postgraduate student at the HSE School of Computer Science
Vladislav Belavin
Vladislav Belavin
Postgraduate student at the HSE School of Computer Science
Nikolai Veld
Nikolai Veld
Data Science, 1st year
Anton Gnatenko
Anton Gnatenko
Data Science, 1st year
Natalia Dobrokhotova-Maykova
Natalia Dobrokhotova-Maykova
Applied mathematics and computer science, 3rd year
Nikita Kalinin
Nikita Kalinin
Applied mathematics and computer science, 2nd year
Evgeny Kogan
Evgeny Kogan
Applied mathematics and computer science, 1st year
Ilia Kostyuchenko
Ilia Kostyuchenko
Software engineering, 3rd year
Tigran Ramazyan
Tigran Ramazyan
Applied data analysis, 2nd year
Artem Ryzhikov
Artem Ryzhikov
Postgraduate student at the HSE School of Computer Science
Maxim Ryabinin
Maxim Ryabinin
Data Science, 1st year
Polina Tarantsova
Polina Tarantsova
Software engineering, 3rd year
Daniil Tyapkin
Daniil Tyapkin
Applied mathematics and computer science, 3rd year
Maksim Urmanov
Maksim Urmanov
Applied mathematics and computer science, 3rd year
Pavel Fokanov
Pavel Fokanov
Applied mathematics and computer science, 3rd year
Denis Shilov
Denis Shilov
Applied data analysis, 2nd year

Spotlight on recipients

Tatyana Makhalova
Tatyana Makhalova
Postgraduate student at the Faculty of Computer Science. Studies Data Mining. Currently writing a PhD thesis on quality indexes for assessing multi-dimensional clusterization and their applications in machine learning theory.
The Ilya Segalovich Award is not only about scholarship and research in the field of computer science — it is also about humanity, kindness, generosity, and celebrating life and the people around you. It's inspiring that the fire lit by Ilya Segalovich in the hearts of his family, friends and colleagues is now burning in the hearts of Faculty of Computer Science students, who have a thirst for knowledge and a passion to undertake challenging scientific tasks.
Anton Savostyanov
Anton Savostyanov
First-year student in the Master's degree program in Data Analysis in Biology and Medicine. Involved in a wide range of scientific projects, from analysis of solar activity to 3D imaging of DNA and analysis of the behavior of populations of living organisms.
This is the second time I have received the scholarship. Memorial scholarships are great. They shouldn't be such a rarity, because there are always people doing something interesting.
Alexey Kalinov
Alexey Kalinov
Third-year student of the Bachelor's program in Applied Mathematics and Computer Science. Interested in projects at the intersection of big data and visual technologies, such as 3D modeling and creating visual effects for movies.
The grant provides quite a lot — first of all, the opportunity not to work in the fourth year. This means that more time is available for studies, projects and preparation of graduation work. I might pursue an academic career.

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