Jing Qin

Jing Qin is an Associate Professor in the Department of Mathematics and Computer Science at the University of Southern Denmark (SDU), where she contributes to research and teaching in mathematical statistics and applied probability. She is also affiliated with the SDU Climate Cluster, reflecting her interdisciplinary engagement in climate and health modeling.

Research Interests: Her work spans actuarial mathematics, financial mathematics, bioinformatics, and mathematical modeling. She specializes in extreme value theory, conditional risk measures, tail dependence, and statistical methods for RNA folding. Her research integrates rigorous theoretical development with practical applications in insurance, finance, and biomedical data analysis.

The recent publications indicate a strong trend in developing robust, nonparametric estimators for conditional extremes, particularly in bivariate and covariate-adjusted settings. Her work often involves asymptotic analysis and simulation studies, with applications in reinsurance, epidemiology, and genomics. Collaborative research with Y. Goegebeur and A. Guillou is prominent.

Scientific Awards:

• No specific awards listed in the provided text.

Advising and Grants: Jing Qin supervises BA, MA, and PhD students in mathematical and statistical research. She is actively involved in externally funded projects, including as Principal Investigator (PI) on a research project analyzing the impact of extreme weather on emergency hospital demand. She has participated in projects funded by the Novo Nordisk Foundation, Carlsberg Foundation, and the Danish Research Council, covering areas from intellectual disability genetics to RNA bioinformatics.

Labs and Teams: She is part of collaborative networks in statistical extremes and bioinformatics, and contributes to the SDU Climate Cluster, suggesting active participation in interdisciplinary research teams focused on climate, health, and data science.