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Igor Sokolov

About Igor Sokolov

Igor Sokolov

  • M.S. Student, Applied Mathematics and Computational Science

machine learning optimization

Igor Sokolov is an M.S. candidate in the KAUST Peter Richtarik Research Group under the supervision of Professor Peter Richtarik. Before joining KAUST, Igor obtained a bachelor's degree in applied mathematics and physics from the Moscow Institute of Physics and Technology, Russia. Research Interests Igor's research interests lie in the intersection of optimization and machine learning. He is interested in both the theoretical analysis of optimization algorithms as well as their practically efficient applications.

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August 2020

  • Meet KAUST Prospective Student: Igor Sokolov

    2 min read · Sun, Aug 9 2020

    News

    machine learning optimization

    Igor Sokolov, 23, is an applied mathematics and physics graduate who will join KAUST from the Moscow Institute of Physics and Technology, Russia. Igor first came to KAUST as a visiting student in 2019 and was highly impressed by the University's living and working facilities. It was this first impression that prompted him to pursue an M.S. at KAUST. Sokolov will join KAUST in the Fall of 2020 as an M.S. candidate under the supervision of Professor Peter Richtarik.

Related Sites

  • Center of Excellence for Generative AI (GenAI)
  • Applied Mathematics and Computational Science (AMCS)
  • Optimization and Machine Learning (OML)

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