Alexey Boldyrev
- Research Fellow: Faculty of Computer Science / AI and Digital Science Institute / Laboratory of Methods for Big Data Analysis
- Associate Professor: Faculty of Computer Science / Big Data and Information Retrieval School
- Alexey Boldyrev has been at HSE University since 2018.
- Language Proficiency
- English
- French
- Italian
- Contacts
- Phone:
27266 - Address: 11 Pokrovsky Bulvar, Pokrovka Complex, room S924
- SPIN-RSCI: 2497-2125
- ORCID: 0000-0002-7872-6819
- ResearcherID: K-6303-2012
- Scopus AuthorID: 35222997400
- Google Scholar
- Office hours
- Mon, Thu 11:00 - 19:00
- Supervisors
- E. Sokolov
- D. Derkach
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Education and Degrees
2013
Candidate of Sciences* (PhD)2010
Degree in Nuclear PhysicsLomonosov Moscow State University
* Candidate of Sciences
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.
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.
Courses (2024/2025)
- Deep Learning (Bachelor’s programme; Faculty of Computer Science field of study Applied Mathematics and Information Science; 3 year, 3, 4 module)Eng
- Machine Learning (Bachelor’s programme; Faculty of Economic Sciences field of study Economics; 4 year, 1, 2 module)Rus
- Machine Learning (Bachelor’s programme; Faculty of Economic Sciences field of study Economics; 4 year, 1, 2 module)Rus
- Machine Learning (Bachelor’s programme; Faculty of Economic Sciences field of study Economics; 3 year, 1, 2 module)Rus
- Machine Learning 1 (Bachelor’s programme; Faculty of Computer Science field of study Applied Mathematics and Information Science; 3 year, 1, 2 module)Eng
- Scientific Data Visualization (Optional course (university); 2 module)Rus
- Past Courses
Courses (2023/2024)
- Data Analysis in Python (Bachelor’s programme; Faculty of Management field of study Law; 3 year, 1 module)Rus
- Deep Learning (Bachelor’s programme; Faculty of Computer Science field of study Applied Mathematics and Information Science; 3 year, 3, 4 module)Eng
- Introduction to Statistical Learning (Bachelor’s programme; Faculty of Computer Science field of study Applied Mathematics and Information Science; 3 year, 1, 2 module)Eng
- Machine Learning (Bachelor’s programme; Faculty of Economic Sciences field of study Economics, field of study Economics; 4 year, 1, 2 module)Rus
- Machine Learning (Bachelor’s programme; Faculty of Economic Sciences field of study Economics; 3 year, 1, 2 module)Rus
- Machine Learning (Bachelor’s programme; International College of Economics and Finance field of study Economics, field of study Economics, field of study Economics; 4 year, 1-4 module)Eng
Courses (2022/2023)
- Introduction into Python (Bachelor’s programme; Faculty of Law field of study Law, field of study Law; 2 year, 1, 2 module)Rus
- Machine Learning (Bachelor’s programme; International College of Economics and Finance field of study Economics, field of study Economics, field of study Economics; 4 year, 1-4 module)Eng
- Machine Learning 1 (Bachelor’s programme; Faculty of Computer Science field of study Applied Mathematics and Information Science; 3 year, 1-4 module)Eng
- Machine Learning for a Model Construction (Mago-Lego; 4 module)Rus
- Machine Learning for a Model Construction (Master’s programme; HSE Tikhonov Moscow Institute of Electronics and Mathematics (HSE MIEM) field of study Applied Mathematics and Informatics, field of study Applied Mathematics and Informatics; 1 year, 4 module)Rus
Courses (2021/2022)
- Machine Learning 1 (Bachelor’s programme; Faculty of Computer Science field of study Applied Mathematics and Information Science; 3 year, 1-4 module)Eng
- Machine Learning for a Model Construction (Master’s programme; HSE Tikhonov Moscow Institute of Electronics and Mathematics (HSE MIEM) field of study Applied Mathematics and Informatics, field of study Applied Mathematics and Informatics, field of study Applied Mathematics and Informatics, field of study Applied Mathematics, field of study Applied Mathematics, field of study Applied Mathematics; 1 year, 4 module)Rus
Courses (2020/2021)
- Machine Learning 1 (Bachelor’s programme; Faculty of Computer Science field of study Applied Mathematics and Information Science; 3 year, 1-4 module)Eng
- Machine Learning with Python (Optional course; 1, 2 module)Eng
- Principles of Mathematical Models Design (Master’s programme; HSE Tikhonov Moscow Institute of Electronics and Mathematics (HSE MIEM) field of study Applied Mathematics; 1 year, 4 module)Rus
Employment history
Research fellow, National Research University Higher School of Economics, 2020–Present
Assistant professor, National Research University Higher School of Economics, 2020–Present
Postdoc, National Research University Higher School of Economics, 2018–2020
Senior reseacher, Skobeltsyn Institute of Nuclear Physics Lomonosov Moscow State University, 2017–2018
Research associate, Skobeltsyn Institute of Nuclear Physics Lomonosov Moscow State University, 2016
Research associate, Lebedev Physical Institute RAS, 2006-2017
TRIL fellowship, The Abdus Salam International Centre for Theoretical Physics (ICTP), 2015–2016
Research associate, Skobeltsyn Institute of Nuclear Physics Lomonosov Moscow State University, 2014–2015