Sergey Dovgal

Quantitative Researcher @ Squarepoint Capital

About Sergey Dovgal

Sergey Dovgal is a Quantitative Researcher currently employed at Squarepoint Capital, with a strong academic background in Informatics and Applied Mathematics. He has held various research and teaching positions across multiple institutions in France and Russia, demonstrating expertise in graph theory, random generation, and optimization.

Current Role at Squarepoint Capital

Sergey Dovgal currently serves as a Quantitative Researcher at Squarepoint Capital, a position he has held since 2022. In this role, he applies his expertise in quantitative analysis and research methodologies to contribute to the firm's investment strategies and decision-making processes.

Previous Research Experience

Prior to his current role, Sergey Dovgal worked as a Researcher at Université de Bourgogne from 2021 to 2022 and at Université de Bordeaux from 2020 to 2021. He also held positions as a Postdoctoral Researcher and a PhD Student at Université Sorbonne Paris Nord from 2016 to 2020, gaining extensive research experience in various academic settings.

Educational Background

Sergey Dovgal completed his Doctor of Philosophy (PhD) in Informatics at Université Paris 13 from 2016 to 2019. He also holds a Master's degree in Applied Mathematics from the Moscow Institute of Physics and Technology (MIPT), where he studied from 2010 to 2016. His educational journey has equipped him with a strong foundation in mathematical and computational theories.

Teaching Experience

Sergey Dovgal has taught a variety of courses, including programming languages such as C, Python, and Matlab, as well as theoretical subjects like Optimisation, Functional Analysis, and Discrete Mathematics. His teaching experience spans both Russian and French educational institutions, highlighting his international teaching background.

Areas of Expertise

Sergey Dovgal possesses expertise in graph theory, random generation, and optimisation. He has applied this knowledge in both research and teaching roles, contributing to his effectiveness as a researcher and educator in quantitative analysis and related fields.

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