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Nikita Morozov
- Nikita Morozov has been at HSE University since 2021.
Responsibilities
To conduct research for the Centre of Deep Learning and Bayesian Methods
Education
2024
Master's
HSE University
2022
Bachelor's in Applied Mathematics and Informatics
HSE University
Awards and Accomplishments
- Young Faculty Support Programme (Group of Young Academic Professionals)
Category "New Researchers" (2024–2025)
Postgraduate Studies
1st year of study
Approved topic of thesis: Improving Generative Flow Networks through Reinforcement Learning
Academic Supervisor:
Dmitry VetrovCourses (2024/2025)
- 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
- Probability Theory (Bachelor’s programme; Faculty of Computer Science field of study Applied Mathematics and Information Science; 2 year, 1-3 module)Rus
- Past Courses
Courses (2023/2024)
- Deep Learning 1 (Bachelor’s programme; Faculty of Computer Science field of study Applied Mathematics and Information Science; 3 year, 2, 3 module)Eng
- Machine Learning 1 (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, field of study Applied Mathematics and Information Science; 3 year, 1, 2 module)Rus
- Machine Learning 2 (Bachelor’s programme; Faculty of Computer Science field of study Applied Mathematics and Information Science, field of study Applied Mathematics and Information Science, field of study Applied Mathematics and Information Science; 3 year, 3, 4 module)Rus
work experience
Yandex, YT, Software Engineer Intern, July 2019 - November 2019
