معرفی
Yevhen Havrylenko serves as a Postdoctoral Researcher in the Department of Mathematical Sciences at the Faculty of Science, University of Copenhagen, Denmark. His appointment is based at Universitetsparken 5, 2100 København Ø, where he conducts advanced research in quantitative finance and actuarial modeling, with contact details including phone +4535327906 and email yh@math.ku.dk.
His research program integrates mathematical finance, actuarial science, and machine learning to solve complex risk management problems. Key focus areas include stochastic volatility modeling for portfolio optimization under value-at-risk constraints, neural network applications for detecting variable interactions in generalized linear models, and game-theoretic approaches to risk-sharing mechanisms in insurance products. This interdisciplinary work bridges theoretical mathematics with practical financial and insurance industry challenges, emphasizing computational rigor and real-world applicability.
Analysis of his recent publications reveals a cohesive research trajectory centered on mathematical innovation in risk assessment. His work consistently employs dynamic programming, stochastic processes, and machine learning to address market incompleteness, variable interaction detection, and strategic insurer-reinsurer dynamics. The publications demonstrate strong methodological synergy across finance and insurance domains, with increasing emphasis on computational techniques for complex risk modeling.
No scientific awards, student advisement records, or research grants are documented in the available profile. Similarly, no affiliations with specific research laboratories or collaborative teams beyond publication co-authors (Escobar-Anel, Zagst, Heger, Hinken) are specified.
