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Current position
Research Scientist at Meta Reality Labs
Experience
- Research Scientist
Meta
Aug 2023 - Present - Research Scientist
Meta
Jul 2021 - Dec 2021 - Research Scientist
Samsung
Jun 2019 - May 2021 - Research Scientist Intern
Lyft Level 5, TUM, Munich, Germany
Jan 2019 – May 2019 - Machine Learning Instructor
BigDataTeam, Moscow, Russia
Jun 2018 – Jan 2021 - Research Engineer
Gigster, San Francisco, USA
Sep 2017 – Jan 2019 - Research Scientist
MIPT Machine Intelligence Laboratory,Moscow, Russia
May 2017 – Dec 2018 - Data Scientist
Yandex, Moscow, Russia
Feb 2016 – May 2017
Honors & awards
- Yandex ML Prize 2020
- Presenting research paper "Hierarchical topic models for Exploratory Search" at DataFest (2018)
- Presenting research paper "Topical Exploratory Search" at Moscow Data Science Meetup (2016)
- 3rd Place at Skoltech Hack Race (2016)
- Hackathon DeepHack.QA, The Allen AI Science Challenge (2016)
Education
- Moscow Institute of Physics and Technology
Ph.D. in Computer Science
2018 – 2022 - Moscow Institute of Physics and Technology
Master's Degree in Computer Science
Sep 2016 – Jul 2018 - Moscow Institute of Physics and Technology
Bachelor's Degree in Applied Mathematics & Informatics
Sep 2012 – Jul 2016 - Yandex School of Data Analysis
Big Data Department
Sep 2014 – May 2016
Selected publications
- Incremental Topic Modeling for Scientific Trend Topics Extraction
Proceedings of the International Conference “Dialogue 2023"
2023 - Multiobjective evaluation of reinforcement learning based recommender systems
Proceedings of the 16th ACM Conference on Recommender Systems
2022 - Topical Extractive Summarization
Conference on Artificial Intelligence and Natural Language
2022 - Bodymap: Learning full-body dense correspondence map
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition
2022 - Stylepeople: A generative model of fullbody human avatars
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition
2021 - Real-time rgbd-based extended body pose estimation
Proceedings of the IEEE/CVF winter conference on applications of computer vision
2021 - Learning to Rank with Capsule Neural Networks
International Conference on Analysis of Images, Social Networks and Texts
2021 - Hierarchical interpretable topical embeddings for exploratory search and real-time document tracking
International Journal of Embedded and Real-Time Communication Systems
2020 - Regularized multimodal hierarchical topic model for document-by-document exploratory search
25th Conference of Open Innovations Association (FRUCT)
2019 - Free-lunch saliency via attention in atari agents
IEEE/CVF International Conference on Computer Vision Workshop (ICCVW)
2019 - Multi-objective topic modeling for exploratory search in tech news
Artificial Intelligence and Natural Language: 6th Conference, AINL 2017
2018 - Multi-objective Topic Modeling for Exploratory Search in Tech News
Proceedings of 6th AINL conference, ACM, Springer
2017 - Multimodal Topic Modeling for Exploratory Search in Collective Blog
Proceedings of 11th International Conf. ”Intelligent Data Processing”, Springer
2016 - Multimodal Topic Modeling for Exploratory Search in Collective Blog
Journal of Machine Learning and Data Analysis, V.2.2, pp. 173-186
2016 - Exploratory Search Based on Topic Modeling
Proceedings of 5th Symposium on Conformal and Probabilistic Prediction with Applications, Springer
2016 - Non-bayesian Additive Regularization for Multimodal Topic Modeling of Large Collections
24th ACM CIKM
2015