Graduates of the programme will have a unique combination of skills in data science and data management

These skills allow them to comprehend, process and manage data effectively and efficiently, to extract value from data, to visualise it and to communicate it

The programme serves increasing demands from industry which relies upon massive volumes of data

Russian and other companies such as IBM, Infosys, Oracle and Orion increasingly need specialists in this field

Dr Daniel Stamate

Department of Computing, Goldsmiths College – University of London
My present research focuses on Machine Learning and Statistical Learning, with particular interests in:

• Sentiment analysis & stock market forecasting;
• Prediction modelling and computational psychiatry;
• Machine and statistical learning modelling to understand heterogeneous manifestations of asthma in early life;
• Predicting risk of dementia using routine primary care records, forthcoming work;
• Mobility big data analytics – in particular focusing on analysing smart card (Oyster) data of Transport for London.

Boris Shilov

Assistant professor,
Pirogov Russian National Research Medical University · bioinformaticsAreas of expertise:
computational approach to biomedical imaging; bioinformatics and systems biology.
Dr. Shilov is one of the few professionals in bioinformatics in Tomsk.
Course within the Program “Introduction to bioinformatics”.

Thomas B. Preußer

Council member, Lecturer at the Department
of Computer Science at TU Dresden
Research Interests:

• Ecological modelling and statistical data analysis
• Phytoplankton, cyanobakteria, zooplankton, makrozoobenthos
• Eutrophication, sediment-water-interaction, antibiotica resistance
• Lakes, reservoirs, streams, laboratory systems
• Systems understanding and development of modelling tools

Igor Sharakhov

Associate Professor Department of Entomology
Virginia Polytechnic Institute
«As a member of the Vector-Borne Disease Group at Virginia Tech, I am broadly interested in genomics and evolutionary cytogenetics of mosquitoes – vectors of human infectious diseases. My goal is to understand the genetic mechanisms of mosquito evolution, adaptation, and reproduction. This knowledge can facilitate the development of innovative genome-based approaches for mosquito vector control».
Invited to the University for the course “Comparative genomics”.

Овсянников Михаил Сергеевич

Ассистент кафедры теоретических основ информатики ТГУ
С отличием закончил факультет информатики в 2008 году. На данный момент Михаил находится в процессе подготовки к защите кандидатской диссертации. Научные интересы: Высокопроизводительные распределенные и облачные системы.
«Лучшие научные результаты всегда достижимы на стыке наук. Множество различных областей знания способны совершить рывок в развитии, если научиться эффективно обрабатывать огромные массивы данных, получаемые как результаты расчетов или измерений».