Aleksei Shpilman
- Associate Professor: HSE Campus in St. Petersburg / St. Petersburg School of Physics, Mathematics, and Computer Science / Department of Informatics
- Aleksei Shpilman has been at HSE University since 2018.
Education and Degrees
Lomonosov Moscow State University
According to the International Standard Classification of Education (ISCED) 2011, Candidate of Sciences belongs to ISCED level 8 - "doctoral or equivalent", together with PhD, DPhil, D.Lit, D.Sc, LL.D, Doctorate or similar. Candidate of Sciences allows its holders to reach the level of the Associate Professor.
Awards and Accomplishments
Best Teacher — 2023–2024, 2020–2021
Supervisor of the following Doctoral theses
- 1Methods of generating synthetic data that complicate the recovery of information about the original dataset
- 2O. Svidchenko Improving the efficiency of model-based reinforcement learning algorithms
Courses (2024/2025)
- Introduction to Machine Learning (Bachelor’s programme; St. Petersburg School of Physics, Mathematics, and Computer Science ; 3 year, 2 module)Rus
- Large-Scale Machine Learning (Bachelor’s programme; St. Petersburg School of Physics, Mathematics, and Computer Science ; 4 year, 1, 2 module)Rus
- Machine Learning (Mago-Lego; 2, 3 module)Rus
- Machine Learning (Bachelor’s programme; St. Petersburg School of Physics, Mathematics, and Computer Science ; 3 year, 2 module)Rus
- Machine Learning (Master’s programme; St. Petersburg School of Physics, Mathematics, and Computer Science field of study Applied Mathematics and Informatics, field of study Applied Mathematics and Informatics, field of study Applied Mathematics and Informatics; 1 year, 2, 3 module)Rus
- Past Courses
Courses (2023/2024)
- Machine Learning (Bachelor’s programme; St. Petersburg School of Physics, Mathematics, and Computer Science ; 3 year, 2 module)Rus
- Machine Learning (Mago-Lego; 2, 3 module)Rus
- Machine Learning (Master’s programme; St. Petersburg School of Physics, Mathematics, and Computer Science field of study Applied Mathematics and Informatics, field of study Applied Mathematics and Informatics; 1 year, 2, 3 module)Rus
- Machine Learning in SE (Mago-Lego; 3 module)Rus
- Machine Learning in SE (Master’s programme; St. Petersburg School of Physics, Mathematics, and Computer Science ; 2 year, 3 module)Rus
- Mentor's Seminar (Master’s programme; St. Petersburg School of Physics, Mathematics, and Computer Science ; 1 year, 1-4 module)Rus
- Mentor's Seminar (Master’s programme; St. Petersburg School of Physics, Mathematics, and Computer Science ; 2 year, 1-3 module)Rus
Courses (2022/2023)
- Deep Learning (Bachelor’s programme; St. Petersburg School of Physics, Mathematics, and Computer Science ; 3 year, 3, 4 module)Rus
- Deep Learning (Mago-Lego; 3, 4 module)Eng
- Deep Learning (Master’s programme; St. Petersburg School of Physics, Mathematics, and Computer Science ; 1 year, 3, 4 module)Eng
- Machine Learning (Bachelor’s programme; St. Petersburg School of Physics, Mathematics, and Computer Science ; 3 year, 2 module)Eng
- Machine Learning (Mago-Lego; 2, 3 module)Rus
- Machine Learning (Master’s programme; St. Petersburg School of Physics, Mathematics, and Computer Science field of study Applied Mathematics and Informatics, field of study Applied Mathematics and Informatics; 1 year, 2, 3 module)Rus
- Mentor's Seminar (Master’s programme; St. Petersburg School of Physics, Mathematics, and Computer Science field of study Applied Mathematics and Informatics, field of study Applied Mathematics and Informatics; 1 year, 1-4 module)Rus
- Research seminar "Technologies of machine learning" (Master’s programme; St. Petersburg School of Physics, Mathematics, and Computer Science ; 1 year, 4 module)Rus
- Technological Workshop (Master’s programme; St. Petersburg School of Physics, Mathematics, and Computer Science field of study Applied Mathematics and Informatics, field of study Applied Mathematics and Informatics; 2 year, 3 module)Rus
- Web Searching and Ranging (Bachelor’s programme; St. Petersburg School of Physics, Mathematics, and Computer Science ; 4 year, 1, 2 module)Eng
Courses (2021/2022)
- Additional Machine Learning Chapters (Master’s programme; St. Petersburg School of Physics, Mathematics, and Computer Science ; 1 year, 1-4 module)Rus
- Machine Learning (Master’s programme; St. Petersburg School of Physics, Mathematics, and Computer Science ; 2 year, 1, 2 module)Eng
- Machine Learning (Bachelor’s programme; St. Petersburg School of Physics, Mathematics, and Computer Science ; 3 year, 2 module)Eng
- Machine Learning (Master’s programme; St. Petersburg School of Physics, Mathematics, and Computer Science ; 1 year, 2-4 module)Eng
- Machine Learning (Master’s programme; St. Petersburg School of Physics, Mathematics, and Computer Science ; 1 year, 3 module)Rus
- Web Searching and Ranging (Master’s programme; St. Petersburg School of Physics, Mathematics, and Computer Science ; 2 year, 1-4 module)Rus
Courses (2020/2021)
- Artificial Intelligence and Cognitive Systems (Master’s programme; St. Petersburg School of Physics, Mathematics, and Computer Science ; 2 year, 1, 2 module)Rus
- Computational Neuroscience (Master’s programme; St. Petersburg School of Physics, Mathematics, and Computer Science field of study Applied Mathematics and Informatics, field of study Applied Mathematics and Informatics; 2 year, 1, 2 module)Rus
- Distributed Processing and Big Data Analysis (Master’s programme; St. Petersburg School of Physics, Mathematics, and Computer Science ; 2 year, 2, 3 module)Eng
- Driverless Cars (Master’s programme; St. Petersburg School of Physics, Mathematics, and Computer Science field of study Applied Mathematics and Informatics, field of study Applied Mathematics and Informatics; 2 year, 1, 2 module)Rus
- Image and Text Analysis (Master’s programme; St. Petersburg School of Physics, Mathematics, and Computer Science ; 2 year, 1, 2 module)Rus
- Machine Learning (Master’s programme; St. Petersburg School of Physics, Mathematics, and Computer Science ; 1 year, 2-4 module)Eng
- Modern Methods of Data Analysis (Master’s programme; St. Petersburg School of Physics, Mathematics, and Computer Science ; 2 year, 1, 2 module)Rus
- Modern Methods of Data Analysis (Master’s programme; St. Petersburg School of Physics, Mathematics, and Computer Science ; 1 year, 1-4 module)Rus
- Modern Methods of Decision Making (Master’s programme; St. Petersburg School of Physics, Mathematics, and Computer Science ; 1 year, 1-4 module)Rus
- Modern Methods of Decision Making (Master’s programme; St. Petersburg School of Physics, Mathematics, and Computer Science ; 1 year, 3, 4 module)Rus
- Research Seminar "Machine Learning and Applications" (Master’s programme; St. Petersburg School of Physics, Mathematics, and Computer Science ; 1 year, 1-4 module)Rus
- Topological data analysis (Optional course (faculty); St. Petersburg School of Physics, Mathematics, and Computer Science ; 1, 2 module)Rus
- Web Searching and Ranging (Bachelor’s programme; St. Petersburg School of Physics, Mathematics, and Computer Science ; 4 year, 1 module)Eng
- Web Searching and Ranging (Master’s programme; St. Petersburg School of Physics, Mathematics, and Computer Science ; 2 year, 2-4 module)Rus
Employment history
2020-now Gazprom neft, Head of AI development programs
2018-now HSE University, Director of center of data analysis and machine learning
2015-now JetBrains Research, Head of AI Labs
2015-2018 Academic University, senior lecturer
2008-2015 Yandex, Researcher-software developer
2008-2015 MIPT, Lecturer
2008-2013 Lomonosov MSU, Junior lecturer
HSE Teachers Awarded Yandex ML Prize
The awards ceremony for the international Yandex ML Prize was held in Moscow. This year, all three winners in the ‘ML Educators’ category were HSE faculty members—Evgeny Sokolov, Associate Professor and Head of the Big Data and Information Retrieval School, Anton Konushin, Associate Professor at the Faculty of Computer Science, and Aleksei Shpilman, Associate Professor at the Department of Informatics at HSE’s St Petersburg School of Physics, Mathematics, and Computer Science.
'If You've Completed a Hard Route, It Doesn't Mean You Should Give Up Your Training'
On February 8, HSE University-St Petersburg celebrates the Day of Russian Science. We congratulate all researchers and wish them continued openness to new discoveries. To mark the occasion, we talked to scientists about the sources of their inspiration, moments of anxiety, and having fun.
What Awaits Participants of the Winter School 2022
Next weekend, February 19 and 20, HSE – St. Petersburg will host an annual event for those who plan to enrol in the campus master's programmes – the Winter School. Participants will be able to get acquainted with educational opportunities and attend open lectures by famous speakers – Pavel Barakaev, Sergey Mardanov, Vladimir Knyaginin, and others. In this article, we will tell you what has been included in the Winter School 2022.
'I Would Certainly Be Interested in Attending a Summer Course at HSE in the Future!'
On August 21st, Saint Petersburg HSE Summer School, which has been taking place since 2017, came to a close. This year it moved online due to the pandemic. 44 participants from 18 countries, including France, Ireland, the USA, the Philippines, China, and others were joining Zoom during four weeks. The organisers of the Summer School were happy to welcome students of 15 HSE partner universities such as Università Cattolica del Sacro Cuore, King’s College London, Sciences Po Lyon, University of Basel, Georg-August-Universität Göttingen, and others.