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Personal profile

Research interests

Mikhail Belyaev’s academic career can be split into two major parts: from 2009 to 2015 he had been developing machine learning tools for industrial engineering, in 2016 he had switched to exploring data science problems in neuroscience. Although these two domains are entirely different, Mikhail’s research purposes and overall methodology are the same. In both cases, his ultimate goal is to bridge the gap between Data Science and domain needs by creating new machine learning methods.

Expertise related to UN Sustainable Development Goals

In 2015, UN member states agreed to 17 global Sustainable Development Goals (SDGs) to end poverty, protect the planet and ensure prosperity for all. This person’s work contributes towards the following SDG(s):

  • SDG 3 - Good Health and Well-being


Dive into the research topics where Mikhail Beliaev is active. These topic labels come from the works of this person. Together they form a unique fingerprint.
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