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Evgeny Burnaev

PhD, Associate Professor at Skoltech
Moscow, Russian Federation
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Evgeny Burnaev

PhD, Associate Professor at Skoltech
Moscow, Russian Federation
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Evgeny Burnaev is an accomplished physicist, researcher, and educator based in Russia. He earned his master's degree with honors in Applied Physics and Mathematics from the prestigious Moscow Institute of Physics and Technology. After completing his doctorate in Computer Science from the Russian Academy of Sciences, he became head of the Data Analysis and Predictive Modeling Lab at the Institute for Problems of Information Transmission.

Burnaev has also worked in industry, leading the data analysis group at Datadvance LLC. He has completed successful projects with global companies such as Airbus, IHI, and the Sahara Force India Formula 1 team. These projects focused on predictive modeling for optimizing technological processes and using deep learning for computer vision in medical settings.

Since 2016, Burnaev has served as an Associate Professor at the Skolkovo Institute of Science and Technology, where he leads a research group for Advanced Data Analytics in Science and Engineering. His team focuses on developing machine learning methods for industrial analytics, with applications in a range of fields. Burnaev has published extensively on these topics, with papers on ArXiv and ResearchGate.

In recognition of his innovative work, Burnaev was awarded the Moscow Government Prize for Young Scientists in 2017. He received this honor for his scientific contributions and leadership in the development of predictive analytics methods for processing industrial, biomedical, and financial data.

Overall, Burnaev is a leading figure in the field of advanced data analytics and machine learning. He brings his extensive research and industry experience to his teaching and mentoring duties at Skolkovo, where he prepares the next generation of data scientists and engineers to tackle complex problems with cutting-edge techniques.

This public profile is provided courtesy of Clay. All information found here is in the public domain.
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