About the University

HSE University

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About HSE University

About HSE University

National Research University Higher School of Economics (HSE University) is one of the largest and most prestigious institutions of higher education in Russia, as well as in the CIS and Eastern Europe.

HSE University was established in 1992, and in just over two decades it has grown from a specialized institution focused on social and economic sciences to a comprehensive university engaged in multidisciplinary research, international cooperation and digital education. A dynamic university with more than 40,000 students on four campuses in Moscow, Saint-Petersburg, Nizhny Novgorod and Perm, HSE University is a leader in combining Russian education traditions with the best international teaching and research practices.

HSE University is ranked #1 on Forbes' "Universities for the Future Elite: 100 Best Russian Universities According to Forbes – 2020" ranking. Additionally, HSE University has made the 2020 QS World University Rankings by Subject in 23 broad and specific subject areas. HSE now ranks 19th in 38 subject rankings in which Russian universities are represented, as well as in four out of five broad subject areas. HSE has entered the list of the world’s top 100 universities in five subjects, including History and Social Policy & Administration, where it has ranked for the first time.

The university offers high quality education at all levels – from a lyceum for school students to post-graduate and MBA programs. Students can pursue training in a wide range of fields, including the social sciences, economics, humanities, law, engineering, computer science, mathematics, physics, chemistry, biology and biotechnology, as well as the creative disciplines. HSE University has more than 350 international partners from 63 countries with opportunities for students to study in double degree or exchange programs.

Featured Faculty

Evgeny Sokolov

Evgeny Sokolov

Senior Lecturer & Academic Supervisor

Evgeny Sokolov graduated from Moscow State University in 2013 with a computer science degree. He has 9 years of experience in Data Science, including projects on bioinformatics, forecasting and supply chain optimization, recommender systems and information retrieval. Evgeny is a senior lecturer and deputy head of Big Data and Information Retrieval department at Higher School of Economics – one of Russia's top universities, where he teaches courses on machine learning and helps to introduce data science courses into all B.Sc. programs. He has also been working at Yandex since 2014, where he has participated in development of CatBoost (open-source machine learning library), taken part in numerous projects for external customers at Yandex Data Factory and leaded recommender system quality team at Yandex.Zen (personal recommendations service).

Vladimir V. Podolskii

Vladimir V. Podolskii

Academic Supervisor

Vladimir V. Podolskii is a senior research fellow at Steklov Institute of Mathematics in Moscow and an associate professor at the Computer Science Department of Higher School of Economics. His scientific interests lie in the field of Computational Complexity and related fields of Computer Science and Mathematics.

Andrei Zimovnov

Andrei Zimovnov

Senior Lecturer

Andrei Zimovnov graduated from Moscow State University in 2013 with a computer science degree. Andrei is a senior data scientist / machine learning engineer at Yandex – a Russian search giant, where he has been working on various machine learning projects involving computer vision, natural language processing and recommender systems. Andrei is also a senior lecturer at Higher School of Economics, where he teaches courses on machine learning.

Ilya Golubev

Ilya Golubev

Guest Lecturer

Ilya Golubev is a Data Scientist at Vezet Group (Vezet Group is a taxi-service that has operations in over 100 cities all over Russia) and a guest lecturer at National Research University Higher School of Economics, where he teaches data analysis. At Vezet Group, Golubev and his team develop and maintain scalable predictive models, form and test various hypotheses which help find better business solutions and provide better user experience. He received his BS and MSc from the National Research University Higher School of Economics, and graduated from Yandex Data School.

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