- Associate Professor:Faculty of Computer Science / Department of Technologies for Complex System Modelling
- Naumov Alexey has been at HSE since 2016.
Education and Degrees
Candidate of Sciences* (PhD)
Lomonosov Moscow State University
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.
- Modern Metthods of Data Analysis: Stochastic Calculus (Master’s programme; Faculty of Computer Science; programme "Statistical Learning Theory"; 1 year, 1, 2 module)Eng
Presidents of Russian Federation Grant for young scientists N 4596.2016.1, 2016-2017
RFBR grant N 14-01-00500 Limit theorems for random matrices and their applications, 2014-2016
Moscow State University, Faculty of computational mathematics and cybernetics, assistant professor, 2015 - current
Institute for information transmission problems (IITP RAS), senior researcher, 2015 - current
Moscow State University, Faculty of computational mathematics and cybernetics, researcher, 2013 - 2015
HSE Lends Its Support to the Very First Conference in ‘New Frontiers in High-Dimensional Probability and Statistics’
On February 23 and 24, the Institute for Information Transmission Problems of the Russian Academy of Sciences hosted the first international mini-conference entitled ‘New frontiers in high-dimensional probability and statistics’. The event was attended by Russian and international researchers in the field of statistical methods of analysis of multidimensional data and modern stochastic algorithms. The conference was hosted by HSE, the Institute for Information Transmission Problems of the RAS and Skoltech. Organisers included HSE Faculty of Computer Science staff, Vladimir Spokoiny, Alexey Naumov, Denis Belomestny and Quentin Paris.
‘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.