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    Alexander Vasilyev

    Machine learning researcher

    Alexander Vasilyev is a machine learning researcher at Queen Mary University of London.3 He completed his Ph.D. in Computer Science at the same institution, where he developed a reinforcement learning-based approach to modeling human eye movements.1 His research interests include reinforcement learning, time-series data analysis, human vision, neurodegenerative diseases, and digital healthcare.1

    During his Ph.D., Vasilyev focused on creating models that explain the statistical properties of human eye movements, considering only the limitations of human visual and oculomotor systems.1 His work has been published in peer-reviewed journals, including IEEE Transactions on Cognitive and Developmental Systems and the International Journal of Neural Systems.2

    Prior to his doctoral studies, Vasilyev received his Master of Science degree in Applied Mathematics from the Moscow Institute of Physics and Technology (MIPT) with honors.1 He also gained experience in condensed matter physics while working at the drug design company Gero.ai Ltd.1

    Currently, as a postdoctoral researcher, Vasilyev aims to contribute to core projects in the CHI laboratory, applying his expertise in machine learning and time-series data analysis.1

    Highlights

    ‪Alexander Y. Vasilyev‬ - ‪Google Scholar‬
    Feb 20 · en.wikipedia.org
    Alexander Vasilyev - Wikipedia

    Related Questions

    What are Alexander Vasilyev's main research interests?
    How did Alexander Vasilyev's work at Gero.ai Ltd. influence his career?
    What is the significance of Alexander Vasilyev's reinforcement learning-based approach to human eye movements?
    What are the core projects of the CHI laboratory that Alexander Vasilyev is contributing to?
    How does Alexander Vasilyev's work in digital healthcare relate to his other research areas?
    Alexander Vasilyev
    Alexander Vasilyev, photo 1
    Alexander Vasilyev, photo 2
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    Location

    Within 23 wards, Tokyo, Japan