Data-driven nanomedicine

PI Group: Scientific Hyperjump Initiative

HEAD of the PROJECT

DSc in Chemistry
AIM OF THE PROJECT
To form a world-class research group; to transition to a new paradigm in the creation of nanostructured drugs and biomaterials – a paradigm based on big data and predictive machine and deep learning algorithms. At the core of the new paradigm will be the application of high-performance data generation methods, algorithms for automated data collection and prediction of nanoformulation properties, as well as express screening platforms for preclinical validation of promising treatments

PROJECT TEAM

  • Vladimir Vinogradov
    DSc in Chemistry
    PI, Head of the Project

  • Nikita Serov
    2nd year PhD student
  • Daniil Kladko
    1st year PhD student
  • Aleksandra Falchevskaya
    1st year PhD student

  • Artur Prilepskii
    PhD in Biology

  • Julia Razlivina
    Master’s student

  • Ivan Chernyshov
    Guru of the Project

  • Susan Jyakhwo
    Master’s student

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