Yegor Korovin PhD
Yegor started his role as DataScientist in October 2020. He brings a wealth of international research experience in several theoretical and applied fields such as mathematics, physics, machine learning and statistics.
The in-depth knowledge acquired in those diverse fields and his skills of performing independent research will provide the expertise needed to assist in the continued research of HYFTTM patterns. Yegor’s ability to come up with novel concepts will be invaluable to support the team and to enhance the variant analysis and AI capability of the BioStrand Genetic Research platform.
Master in Theoretical and Mathematical Physics, magna cum laude, Ludwig Maximilian University of Munich.
PhD in Theoretical Physics, theoretical research on the interface between high energy physics, condensed matter physics and gravity, University of Amsterdam.
Postdoctoral researcher at the Max Planck Institute for Gravitational Physics, Potsdam and at the Université libre de Bruxelles.