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SPIN-RSCI: 8816-5681
ORCID: 0000-0001-7606-7322
ResearcherID: Q-6210-2016
Scopus AuthorID: 55631908800
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Supervisors
E. Sokolov
N. Vereshchagin
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Maxim Rakhuba

  • Maxim Rakhuba has been at HSE University since 2020.

Education and Degrees

  • 2017

    Candidate of Sciences* (PhD)

  • 2014

    Master's
    Moscow Institute of Physics and Technology

  • 2012

    Bachelor's
    Moscow Institute of Physics and Technology

* Candidate of Sciences
According to the International Standard Classification of Education (ISCED) 2011, Candidate of Sciences belongs to ISCED level 8 - "doctoral or equivalent", together with PhD, DPhil, D.Lit, D.Sc, LL.D, Doctorate or similar. Candidate of Sciences allows its holders to reach the level of the Associate Professor.

Continuing education / Professional retraining / Internships / Study abroad experience

Postdoc at ETH Zurich, 2018-2020

Awards and Accomplishments

Best Teacher – 2022, 2021

Young Faculty Support Program (Group of Young Academic Professionals)
Category "New Lecturers" (2021-2022)

Courses (2022/2023)

Courses (2021/2022)

Courses (2020/2021)


Publications17

Timetable for today

Full timetable

17 Articles by Researchers of HSE Faculty of Computer Science Accepted at NeurIPS

In 2022, 17 articles by the researchers of HSE Faculty of Computer Science were accepted at the NeurIPS (Conference and Workshop on Neural Information Processing Systems), one of the world’s most prestigious events in the field of machine learning and artificial intelligence. The 36th conference will be held in a hybrid format from November 28th to December 9th in New Orleans (USA).

HSE Faculty of Computer Science and Skoltech Hold Math of Machine Learning Olympiad 2022

HSE's Faculty of Computer Science and the Skolkovo Institute of Science and Technology have held the Mathematics of Machine Learning Olympiad for the fifth time. The participants competed for prizes and the opportunity to matriculate at two universities without exams by enrolling in the HSE and Skoltech joint master's programme in Math of Machine Learning.