Denis Fedoseev

Background

About Denis Fedoseev

PhD in Mathematics. Passionate for mathematics and its applications, in particular - machine learning and data science in general. Have a dream of applying ML and DS methods to new and different areas, such as game development. Work experience- 2 years of experience as researcher in machine learning (computer vision, anomaly detection, pattern recognition; supervised and semi-supervised learning, CNN)- 5 years of experience in teaching differential geometry, topology, knot theory and calculus as an assistant professor- 4 years of experience as researcher, senior researcher and head researcher in scientific projects on geometry and dynamical systems. Personal Achievements- Published 36 scientific works in geometry, topology and machine learning including 1 monograph- Published a textbook on differential geometry and tensor calculus- Gave talks on 30+ international conferences including invited and plenary talks- Organised 3 international conferences on low-dimensional topology- Participated in 8 research grants, 4 of them international; lead 1 of them- Received an MSU award and scholarship for outstanding scientific contribution. Hard skills: academic teaching, mathematical methods (geometry, topology, linear algebra, statistics), programming (C++, C#, Swift, Python), LATEX, Wolfram Mathematica Soft skills: public speaking, scientific events organisation, research skills, persistence, mentoring, team- work, willingness to learn and improve