Evgeniy Riabenko
Data science

Evgeniy Riabenko

Current position
PhD, Senior Data Scientist at Veon
Data Analysis
Machine Learning
University Teaching



  • Advanced Machine Learning


Evgeniy Riabenko is a data scientist with 10 years of experience in both industry and academia. He got his PhD in mathematical modelling from Moscow State University, and has expertise in statistics, machine learning, optimization, time series analysis, topic modelling, and bioinformatics.

For 7 years he taught Statistics for Data Analysis course at Moscow State University, Moscow Institute of Physics and Technology and Higher School of Economics; an adapted version of the course is available on Coursera.


Senior Data Scientist
December 2016 – Present | Amsterdam Area, Netherlands

Assistant Professor
National Research University — Higher School of Economics
September 2016 – Present | Moscow, Russian Federation

Assistant Professor
Moscow Institute of Physics and Technology (State University) February 2011 – Present | Moscow, Russian Federation

Data Scientist
Yandex Data Factory
December 2013 – November 2016 | Moscow, Russian Federation

Moscow State University
September 2008 – June 2016 | Moscow, Russian Federation

Research Fellow
Computing Centre of Russian Academy of Sciences
October 2012 – November 2014 | Moscow, Russian Federation

Research Fellow
May 2010 – September 2012 | Moscow, Russian Federation

December 2009 – April 2010 | Moscow, Russian Federation

October 2007 – November 2009 | Moscow, Russian Federation

October 2006 – October 2009 | Moscow, Russian Federation


Lomonosov Moscow State University
Doctor of Philosophy (Ph.D.), Mathematical Modelling
2009 – 2014

Lomonosov Moscow State University (MSU)
Master of Science (M.Sc.), Applied Mathematics, Computer Science
2004 – 2009


  • Bedenkov, A; Shpinev, V; Suvorov, N; Sokolov, E; Riabenko, E; Consolidating Russia and Eurasia Antibiotic Resistance Data for 1992–2014 Using Search Engine, Frontiers in microbiology, 7, 2016
  • Matveeva, O V; Nechipurenko, Y D; Riabenko, E; Ragan, C; Nazipova, N N; Ogurtsov, A Y; Shabalina, S A; Optimization of signal-to-noise ratio for efficient microarray probe design, Bioinformatics, 32, 17, i552-i558, 2016
  • Krainova, N A; Khaustova, N A; Makeeva, D S; Fedotov, N N; Gudim, E A; Ryabenko, E A; Shkurnikov, M U; Galatenko, V V; Sakharov, D A; Maltseva, D V; Evaluation of potential reference genes for qRT-PCR data normalization in HeLa cells, Applied biochemistry and microbiology, 49, 9, 743-749, 2013
  • Krainova, N A; Khaustova, N A; Makeeva, D S; Fedotov, N N; Gudim, E A; Riabenko, E A; Shkurnikov, M Y; Galatenko, V V; Sakharov, D A; Maltseva, D V; Evaluation of candidate reference genes for normalization of RT-PCR data with HeLa cells, Biotechnology (Moscow), 1, 42-50, 2013
  • Maltseva, D V; Ryabenko, E A; Sizova, S V; Yashin, D V; Khaustova, S A; Shkurnikov, M Y; Effect of exercise on the expression of HSPBP1, PGLYRP1, and HSPA1A genes in human leukocytes, Bulletin of experimental biology and medicine, 153, 6, 867-869, 2012
  • Riabenko, E A; Setting Up the Nonlinear Model of Experimental Data From DNA Microarrays, Matematicheskaya Biologiya i Bioinformatika, 7, 2, 554-566, 2012

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