Pasha Andreyanov
- Assistant Professor: Faculty of Economic Sciences / Department of Theoretical Economics
- Pasha Andreyanov has been at HSE University since 2019.
Education and Degrees
University of California, Los Angeles
University of California, Los Angeles
Lomonosov Moscow State University
Awards and Accomplishments
- Best Teacher — 2024
Courses (2025/2026)
- Auctions: Theory and Practice (Master’s programme; Faculty of Economic Sciences field of study Economics; 2 year, 2 module)Eng
- Auctions: Theory and Practice (Master’s programme; Faculty of Economic Sciences field of study Economics; 2 year, 2 module)Eng
- Auctions: Theory and Practice (Master’s programme; Faculty of Economic Sciences field of study Economics; 2 year, 2 module)Eng
- Auctions: Theory and Practice (Master’s programme; Faculty of Economic Sciences field of study Economics; 2 year, 2 module)Eng
- Auctions: Theory and Practice (Mago-Lego; Faculty of Economic Sciences; 2 module)Eng
- Machine Learning (Advanced level) (Master’s programme; Faculty of Economic Sciences field of study Economics; 1 year, 4 module)Eng
- Machine Learning (Advanced level) (Master’s programme; Faculty of Economic Sciences field of study Economics; 1 year, 4 module)Eng
- Machine Learning (Advanced level) (Master’s programme; Faculty of Economic Sciences field of study Economics; 1 year, 4 module)Eng
- Machine Learning (Advanced level) (Master’s programme; Faculty of Economic Sciences field of study Economics; 1 year, 4 module)Eng
- Machine Learning (Advanced level) (Mago-Lego; Faculty of Economic Sciences; 4 module)Eng
- Past Courses
Courses (2024/2025)
- Auctions: Theory and Practice (Mago-Lego; 2 module)Eng
- Auctions: Theory and Practice (Master’s programme; Faculty of Economic Sciences field of study Economics; 2 year, 2 module)Eng
- Auctions: Theory and Practice (Master’s programme; Faculty of Economic Sciences field of study Economics; 2 year, 2 module)Eng
- Auctions: Theory and Practice (Master’s programme; Faculty of Economic Sciences field of study Economics; 2 year, 2 module)Eng
- Economic Applications of Machine Learning (Bachelor’s programme; Faculty of Economic Sciences field of study Economics; 4 year, 1 module)Eng
- Economic Applications of Machine Learning (Bachelor’s programme; Faculty of Economic Sciences field of study Economics; 3 year, 1 module)Eng
- Economic Applications of Machine Learning (Bachelor’s programme; Faculty of Economic Sciences field of study Economics; 4 year, 1 module)Eng
- Economic Applications of Machine Learning (Bachelor’s programme; Faculty of Economic Sciences field of study Economics; 3 year, 1 module)Eng
- Machine Learning (Advanced level) (Master’s programme; Faculty of Economic Sciences field of study Economics; 1 year, 4 module)Eng
- Machine Learning (Advanced level) (Master’s programme; Faculty of Economic Sciences field of study Economics; 1 year, 4 module)Eng
- Machine Learning (Advanced level) (Mago-Lego; 4 module)Rus
- Machine Learning (Advanced level) (Master’s programme; Faculty of Economic Sciences field of study Economics; 1 year, 4 module)Eng
- Machine Learning (Advanced level) (Master’s programme; Faculty of Economic Sciences field of study Economics; 1 year, 4 module)Eng
Courses (2023/2024)
- Economic Applications of Machine Learning (Bachelor’s programme; Faculty of Economic Sciences field of study Economics, field of study Economics; 4 year, 1 module)Eng
- Economic Applications of Machine Learning (Bachelor’s programme; Faculty of Economic Sciences field of study Economics, field of study Economics; 3 year, 1 module)Eng
- Machine Learning: Additional Chapters (Mago-Lego; 4 module)Eng
- Machine Learning: Additional Chapters (Master’s programme; Faculty of Economic Sciences field of study Economics, field of study Economics, field of study Economics; 1 year, 4 module)Eng
- Microeconomics-1 (advanced course) (Bachelor’s programme; Faculty of Economic Sciences field of study Applied Mathematics and Information Science, field of study Economics; 1 year, 3, 4 module)Rus
Courses (2022/2023)
- Economic Applications of Machine Learning (Bachelor’s programme; Faculty of Economic Sciences field of study Economics, field of study Economics; 4 year, 1 module)Eng
- Economic Applications of Machine Learning (Bachelor’s programme; Faculty of Economic Sciences field of study Economics, field of study Economics; 3 year, 1 module)Eng
- Machine Learning: Additional Chapters (Master’s programme; Faculty of Economic Sciences field of study Economics, field of study Economics, field of study Economics; 1 year, 4 module)Eng
- Machine Learning: Additional Chapters (Mago-Lego; 4 module)Eng
- Microeconomics-1 (advanced course) (Bachelor’s programme; Faculty of Economic Sciences field of study Economics, field of study Applied Mathematics and Information Science; 1 year, 3, 4 module)Rus
Courses (2021/2022)
- Application of Machine Learning in Macroeconomics (Master’s programme; Faculty of Economic Sciences field of study Economics, field of study Economics; 1 year, 4 module)Rus
- Auctions: Theory and Practice (Master’s programme; Faculty of Economic Sciences field of study Economics, field of study Economics; 1 year, 4 module)Eng
- Economic Applications of Machine Learning (Bachelor’s programme; Faculty of Economic Sciences field of study Economics; 4 year, 1 module)Eng
- Economic Applications of Machine Learning (Bachelor’s programme; Faculty of Economic Sciences field of study Economics; 3 year, 1 module)Eng
- Microeconomics-1 (advanced course) (Bachelor’s programme; Faculty of Economic Sciences field of study Economics; 1 year, 3, 4 module)Rus
Conferences
- 2020
EACES Workshop (Санкт Петербург). Presentation: Secret Reserve Prices by Uninformed Sellers
‘My PhD Journey Was Made Possible by My Studies at HSE’
Tianxiong Yu, 25, completed his Master’s in Economics and Economic Policy at HSE University in Moscow. He spent the second year of the programme at the University of Luxembourg and has since enrolled there on a doctoral programme. While it is no longer a joint programme, HSE graduates continue to successfully pursue PhDs at international universities. Tianxiong spoke to the HSE News Service about his memories of his master’s course and how his time at HSE paved the way for his doctoral research.
How to Mitigate the Influence of Retail Investors on the Stock Market
Pasha Andreyanov, Assistant Professor in the Department of Theoretical Economics at HSE University and Tomasz Sadzik, Assistant Professor of Economics at University of California, have described a mechanism that allows the stock market to remain relatively calm despite the growing influence of retail investors. Their joint article, 'Robust Mechanism Design of Exchange', was published in the Review of Economic Studies, one of the top 5 academic journals in economics and finance.
HSE University Ranks 115th in RePEc World Ranking
The RePEc rating (Research Papers in Economics) is based on publication activity data in the field of economics and related disciplines. In recent years, HSE University has consistently ranked first among Russian universities, and it continues to steadily climb the global ranking, overtaking well-known, centuries-old foreign universities. In the latest European ranking, HSE University took 46th place. In the world ranking, the university has ranked 115th (an increase of 4 places in the space of one month).