Research focus
MBZUAIAbu Dhabi, United Arab Emirates, Kazakhstan
AI researcher and machine learning engineer focused on practical AI systems for real-world applications. My interests include AI for finance and neuroscience, applied machine learning, computer vision, healthcare AI, and optimization. I actively participate in research competitions, including Kaggle and NeurIPS, and achieved Kaggle Competitions Master status with a top-14 global ranking. Beyond research, I contribute to AI olympiads, education, and community building.
Neuroscience
AI for finance
Prediction Markets
Collaboration interests
Public collaboration signals submitted through this research profile.
Education
PhD, Machine Learning, MBZUAI (2025-2029)
MSc in Computer Science, Faculty of Computational Mathematics and Cybernetics, Moscow State University (2009-2014)
Big Data, Yandex School of Data Analysis (2017-2018)
Publications
Approved public publications linked to this researcher profile.
- Open
Effect of a comprehensive deep-learning model on the accuracy of chest x-ray interpretation by radiologists: a retrospective, multireader multicase study
The Lancet Digital Health - 2021 - OpenAlex2222 citations
Regional connection
From Kazakhstan
Works on Kazakhstan datasets or problems
Regional community contributor
Open to Central Asia collaborations