cv

PhD in Computer Science

• Unleashing the Power of Diffusion Model for Efficient Generation of Discrete Data with Variable Length

Master's in Computer Science

• Application of diffusion models to generation of amino acid sequences

Foundational courses for master's degree in Computer Science

• Machine learning developer

Bachelor's in Computer Science

• Development of neural network method for detecting videos of increased resolution

Researcher

• Research the applications of diffusion models for text and protein generation.

Researcher/Developer

• Research of Super-Resolution methods for image and video upscaling.
• Developing the method of detection of artificially upscaled videos.

Machine Learning Intern

• Developed the quality metrics for estimation of Alice's user satisfaction.
• Created a tool for identification of errors in the work of Alice voice assistant.

Software Engineering Intern

• Developed a tool for analysis and comparison of full-reference neural network metrics of video quality.

• Excellent Graduate, Moscow State University

• Winner of the Young Teachers Competition, HSE University

• Winner of the “Lomonosov” Olympiad in Mathematics and Cybernetics

• Awarded the UMNIK Research Grant for innovative scientific development

Lecturing

• Bayesian Methods in Machine Learning at the faculty of Computer Science HSE University
• Natural Language Processing at the faculty of Computer Science HSE University

Teaching assistance

• Neural Bayesian Methods at Yandex School of Data Analysis
• Neural Bayesian Methods at CMC MSU
• Bayesian Methods in Machine Learning at the faculty of Computer Science HSE University

Teaching assistance

• Bayesian Methods in Machine Learning at Yandex School of Data Analysis
• Bayesian Methods in Machine Learning at CMC MSU