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+7(495) 772-9590 *26056
Address: Moscow, 115162, Shabolovka 31, korp. G, room 727
ORCID: 0000-0002-9482-6430
ResearcherID: A-4393-2014
Scopus AuthorID: 15069577900
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V. Konakov
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Denis Belomestny

  • Denis Belomestny has been at HSE since 2014.

Education and Degrees

  • 2002

    Candidate of Sciences* (PhD)

  • 1998

    Lomonosov Moscow State University

* 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.

Courses (2017/2018)

Courses (2016/2017)

Courses (2014/2015)

Monte-Carlo Methods in Finance (Master’s programme; Faculty of Economic Sciences; 1 year, 3, 4 module)Rus



  • 2015
    10th IMACS Seminar on Monte Carlo Methode (Линц). Presentation: Multilevel Monte Carlo for weak approximation schemes
  • Workshop on "Nonparametric and high-dimensional statistics", Heidelberg (Хайдельберг). Presentation: Low-rank diffusion covariance matrix estimation under presence of jumps

Employment history

1998 - 2002  Moscow State University

2002 - 2003  Institute for Applied Mathematics (Bonn) 

2003 - 2011 Weierstrass Institute for Applied Analysis and Stochastics (Berlin) 

2011 - now  University of Duisburg - Essen

Timetable for today

Full timetable

‘Our Programme Aims to Make a Research Breakthrough at the Intersection of Mathematics and Computer Science’

In 2017, the HSE Faculty of Computer Science and Skoltech are opening admissions to the Master’s programme inStatistical Learning Theory, which will become the successor to theMathematical Methods of Optimization and Stochastics programme.Vladimir Spokoiny, the programme’s academic supervisor and professor of mathematics at Humboldt University in Berlin, told us about the research part of the new programme and the opportunities it offers to both Master’s students and undergraduate students alike.