Lei (Larry) Hua, Ph.D., A.S.A.
Associate Professor

Dr. Lei Hua obtained his Ph.D. degree in Statistics from the University of British Columbia in 2012, and he is an Associate Professor in the Department of Statistics and Actuarial Science at Northern Illinois University. His scholarly pursuits center on the rigorous quantification and predictive analysis of multivariate non-Gaussian phenomena, with a strong emphasis on quantitative risk management in different fields such as modelling and forecasting natural disaster risks, financial and insurance risks, and cybersecurity risks. His research portfolio spans critical domains, including developing better methodologies for modelling extreme natural disasters and assessing interdependent high-risk scenarios. Dr. Hua's research has received recognition for its twofold influence, marked by groundbreaking methodological progress and innovative practical applications. His research contributions have earned him many awards, including many prestigious research grants from multiple actuarial organizations and foundations and the annual best paper award in a leading actuarial journal. Dr. Hua’s current research efforts focus on developing modern statistical and machine learning methods to address important issues in quantitative risk management that cover many computationally intensive and data-driven research areas, including but not limited to environmental risks, natural disaster risks, health risks, cybersecurity risks, and financial and insurance risks.

Selected Recent Publications

Hua, L., 2023. Discovering Intraday Tail Dependence Patterns via a Full-Range Tail Dependence Copula. Risks, 11(11), 195.

Hua, L. and Xu, M., 2021. Pricing Cyber Insurance for a Large-Scale Network. Variance, 14(2).

Su, J. and Hua, L., 2017. A General Approach to Full-range Tail Dependence Copulas. Insurance: Mathematics and Economics, 77, 49-64.


Larry Hua

Lei (Larry) Hua
DuSable Hall 361C

Office Hours: Mondays and Wednesdays, 1 p.m. to 2 p.m.

Research website