Korney Tomashchuk
- Lecturer, Doctoral Student: Faculty of Computer Science / School of Data Analysis and Artificial Intelligence
- Junior Research Fellow: Faculty of Computer Science / Laboratory for Semantic Analysis
- Korney Tomashchuk has been at HSE University since 2020.
- Language Proficiency
- English
- Contacts
- Phone:
27319 - Address: 11 Pokrovsky Bulvar, Pokrovka Complex, room S902
- SPIN-RSCI: 6883-0277
- ORCID: 0000-0002-3288-2744
- ResearcherID: HLW-2876-2023
- Scopus AuthorID: 57330654200
- Google Scholar
- Supervisors
- S. Kuznetsov
- V. Gromov
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Education
2024
Master'sHSE University
2022
Bachelor'sHSE University
Awards and Accomplishments
Bonus for young teachers of the Faculty of Computer Science from among graduates (2024-2025)
- Young Faculty Support Programme (Group of Young Academic Professionals)
Category "New Lecturers" (2025)
Category "New Researchers" (2022)
Postgraduate Studies
1st year of study
Approved topic of thesis: Control of bifurcations as an approach to machine learning problems
Academic Supervisor: Vasilii Gromov
Approved topic of thesis: Control of bifurcations as an approach to machine learning problems
Academic Supervisor: Vasilii Gromov
Courses (2025/2026)
- How to Examine and Predict Time Series: Methods and Applications (Master field of study Applied Mathematics and Informatics; 2 year, 1, 2 module)Eng
- How to Examine and Predict Time Series: Methods and Applications (Mago-Lego; 1, 2 module)Eng
- Machine Learning 1 (Bachelor field of study Applied Mathematics and Information Science; 3 year, 1, 2 module)Rus
- Machine Learning 1 (Bachelor field of study Applied Mathematics and Information Science, Psychology, Public Administration, Sociology, Political Science; 3 year, 1, 2 module)Rus
- Machine Learning 1 (Bachelor field of study Applied Mathematics and Information Science, Economics; 3 year, 1, 2 module)Rus
- Machine Learning 1 (Optional course (faculty); 1, 2 module)Rus
- Machine Learning 2 (Bachelor field of study Applied Mathematics and Information Science; 3 year, 3, 4 module)Rus
- Machine Learning 2 (Bachelor field of study Applied Mathematics and Information Science; 3 year, 3, 4 module)Rus
- Machine Learning 2 (Bachelor field of study Applied Mathematics and Information Science, Psychology, Public Administration, Sociology, Political Science; 3 year, 3, 4 module)Rus
- Methods of Artificial Intelligence in Decision Making (Master field of study Applied Mathematics and Informatics; 1 year, 1, 2 module)Eng
- Methods of Artificial Intelligence in Decision Making (Mago-Lego; 1, 2 module)Rus
- Prolegomena to Strong Artificial Intelligence (Bachelor field of study Applied Mathematics and Information Science; 2 year, 3, 4 module)Rus
- Prolegomena to Strong Artificial Intelligence (Optional course (faculty); 3, 4 module)Rus
- Past Courses
Courses (2024/2025)
- Calculus 2 (Bachelor’s programme; Faculty of Computer Science field of study Applied Mathematics and Information Science; 2 year, 1, 2 module)Eng
- Differential Equations (Bachelor’s programme; Faculty of Computer Science field of study Applied Mathematics and Information Science; 2 year, 3, 4 module)Eng
- How to Examine and Predict Time Series: Methods and Applications (Master’s programme; Faculty of Computer Science field of study Applied Mathematics and Informatics; 2 year, 1, 2 module)Eng
- How to Examine and Predict Time Series: Methods and Applications (Mago-Lego; 1, 2 module)Rus
- Introduction to Deep Learning (Bachelor’s programme; Faculty of Computer Science field of study Applied Mathematics and Information Science; 3 year, 2, 3 module)Eng
- Introduction to Deep Learning (Bachelor field of study Applied Mathematics and Information Science, Psychology, Public Administration, Sociology, Political Science; 3 year, 2, 3 module)Eng
- Machine Learning 1 (Bachelor’s programme; Faculty of Economic Sciences field of study Applied Mathematics and Information Science, 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)Rus
- Machine Learning 1 (Bachelor’s programme; Faculty of Social Sciences field of study Applied Mathematics and Information Science, Psychology, Public Administration, Sociology, Political Science; 3 year, 1, 2 module)Rus
- Machine Learning 1 (Mago-Lego; 1, 2 module)Rus
- Machine Learning 1 (Bachelor field of study Economics; 3 year, 1, 2 module)Rus
- Machine Learning 2 (Bachelor’s programme; Faculty of Economic Sciences field of study Applied Mathematics and Information Science, Economics; 3 year, 3, 4 module)Rus
- Machine Learning 2 (Bachelor’s programme; Faculty of Computer Science field of study Applied Mathematics and Information Science; 3 year, 3, 4 module)Rus
- Machine Learning 2 (Bachelor’s programme; Faculty of Social Sciences field of study Applied Mathematics and Information Science, Psychology, Public Administration, Sociology, Political Science; 3 year, 3, 4 module)Rus
- Machine Learning 2 (Bachelor’s programme; Faculty of Computer Science field of study Applied Mathematics and Information Science; 3 year, 3, 4 module)Rus
- Methods of Artificial Intelligence in Decision Making (Master’s programme; Faculty of Computer Science field of study Applied Mathematics and Informatics; 1 year, 3, 4 module)Eng
- Methods of Artificial Intelligence in Decision Making (Mago-Lego; 3, 4 module)Eng
- Prolegomena to Strong Artificial Intelligence (Bachelor field of study Applied Mathematics and Information Science; 2 year, 3, 4 module)Rus
Courses (2023/2024)
- Calculus 2 (Bachelor’s programme; Faculty of Computer Science field of study Applied Mathematics and Information Science; 2 year, 1, 2 module)Eng
- Differential Equations (Bachelor’s programme; Faculty of Computer Science field of study Applied Mathematics and Information Science; 2 year, 3, 4 module)Eng
- Modern Methods of Decision Making (Master’s programme; Faculty of Computer Science field of study Applied Mathematics and Informatics; 1 year, 3, 4 module)Eng
- Modern Methods of Decision Making (Mago-Lego; 3, 4 module)Eng
Courses (2022/2023)
- Calculus 2 (Bachelor’s programme; Faculty of Computer Science field of study Applied Mathematics and Information Science; 2 year, 1, 2 module)Eng