Data Science

Evgeniy Riabenko

Senior Data Scientist at The Trade Desk, London

Faculty Profile

Evgeniy Riabenko is a data scientist and researcher with 15 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, and bioinformatics.

He taught statistics and data analysis courses at Harbour Space, Moscow State University, Moscow Institute of Physics and Technology, Higher School of Economics, as well as on various online platforms.

Experience

April 2021 – Present | London
Senior Data Scientist
The Trade Desk
June 2018 – April 2021 | London
Research Scientist
Facebook
December 2016 – April 2018| Amsterdam Area, Netherlands
Senior Data Scientist
Veon
September 2016 – Present | Moscow, Russian Federation
Assistant Professor
National Research University — Higher School of Economics
February 2011 – Present | Moscow, Russian Federation
Assistant Professor
Moscow Institute of Physics and Technology (State University)
December 2013 – November 2016 | Moscow, Russian Federation
Data Scientist
Yandex Data Factory
September 2008 – June 2016 | Moscow, Russian Federation
Instructor
Moscow State University
October 2012 – November 2014 | Moscow, Russian Federation
Research Fellow
Computing Centre of Russian Academy of Sciences
May 2010 – September 2012 | Moscow, Russian Federation
Research Fellow
Bioclinicum
December 2009 – April 2010 | Moscow, Russian Federation
Researcher-Analyst
Forecsys
October 2007 – November 2009 | Moscow, Russian Federation
Analyst
Akvion
October 2006 – October 2009 | Moscow, Russian Federation
Researcher
RNT

Education

2009 – 2014
Doctor of Philosophy (Ph.D.), Mathematical Modelling
Lomonosov Moscow State University
2004 – 2009
M.Sc. in Applied Mathematics & Computer Science
Lomonosov Moscow State University (MSU)

Publications

2022
Kostarnoy A, Gancheva P, et al: A mechanism of self-lipid endocytosis mediated by the receptor Mincle
Proceedings of the National Academy of Sciences 119(30), e2120489119
2021
Haimovich D, Karamshuk D, et al: Popularity prediction for social media over arbitrary time horizons
Proceedings of the VLDB Endowment 15(4), 841–849
2017
Shvechikov P, Riabenko E: Gaussian Processes for Individualized Continuous Treatment Rule Estimation
Proceedings of Joint Statistical Meetings, Section on Bayesian Statistical Inference
2017
Kostarnoy A, Gancheva P, et al: Receptor Mincle promotes skin allergies and is capable of recognizing cholesterol sulfate
Proceedings of the National Academy of Sciences 114(13), E2758–E2765
2016
Bedenkov A, Shpinev V, et al: Consolidating Russia and Eurasia Antibiotic Resistance Data for 1992–2014 Using Search Engine
Frontiers in Microbiology 7(294)
2016
Matveeva O, Nechipurenko, et al: Optimisation of Signal-to-noise Ratio for Efficient Microarray Probe Design
Bioinformatics, 32, 17, i552-i558
2013
Krainova N, Khaustova N, et al: Evaluation of Potential Reference Genes for qRT-PCR Data Normalisation in HeLa Cells
Applied biochemistry and microbiology, 49, 9, 743-749
2013
Krainova N, Khaustova N, et al: Evaluation of candidate reference genes for normalization of RT-PCR data with HeLa cells
Biotechnology (Moscow), 1, 42-50
2012
Maltseva D, Riabenko E, et al: 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: Setting Up the Nonlinear Model of Experimental Data From DNA Microarrays
Mathematical Biology and Bioinformatics 7, 2, 554-566