Fernando Cordero
استاد · Population Genetics
University of Natural Resources and Life Sciences Viennaمعرفی
Fernando Cordero is a University Professor of Mathematics at the University of Natural Resources and Life Sciences, Vienna (BOKU), where he is affiliated with the Institute of Mathematics. Previously, he held positions as Senior Academic Councillor (2022-2024), Research Associate (2013-2022) at Bielefeld University, Research Associate at the University of Vienna (2010-2012), and Teaching and Research Assistant at Sorbonne Université (2008-2010).
His research spans two main areas: population genetics and mathematical finance. In population genetics, he investigates deterministic and stochastic population models subject to evolutionary forces of mutation and selection, with particular focus on elucidating ancestral structures and establishing relationships between forward and backward models. His methodological approach combines analytical techniques (ordinary, partial, or stochastic differential equations), probabilistic methods (Markov processes), and combinatorial analysis. In mathematical finance, his research focuses on problems related to the existence and quantification of arbitrage and asymptotic arbitrage in financial markets under friction.
Analysis of his recent publications reveals a strong focus on the intersection of probability theory and evolutionary biology, particularly examining mutation-selection balance, coalescent theory, and ancestral processes. His work demonstrates sophisticated applications of stochastic processes to model evolutionary dynamics, with increasing attention to dormancy effects and environmental randomness in population models. In finance, his research investigates the mathematical foundations of arbitrage in complex market structures.
Dr. Cordero maintains active scholarly engagement through his ORCID (0000-0001-5959-0787), ResearcherID (KFT-0082-2024), and Google Scholar profile (sDMxaqIAAAAJ), reflecting his contributions to both theoretical mathematics and its applications in biology and finance.

