Gee Y. Lee

Introduction

My name is Gee (pronounced same as the letter 'G' within the alphabet), and I am an associate professor of Actuarial Science at Michigan State University. 

My current research interests include insurance loss modeling for rate-making and loss reserving applications, optimization of multivariate insurance coverage, dependence modeling, and machine learning methods with applications in actuarial science. I have several on-going works related to: applying deep neural networks to rate-making and loss reserving, analyzing unstructured data, optimizing multivariate insurance coverage, etc. 

If you are a current/prospective undergraduate student interested in working with me on any of these topics, please see the undergraduate students page. If you are a current/prospective MS or PhD student with an interest in actuarial science, then please see my MS/PhD students page.

Publications

• Lee, G. Y. (2025) Long-tail modeling of crop insurance indemnities, Variance.

• Lee, G. Y. and Jeong, H. (2024) Nonparametric intercept regularization for insurance claim frequency regression models, The Annals of Actuarial Science.

• Lee, G. Y. (2023) Multivariate insurance portfolio risk retention using the method of multipliers, North American Actuarial Journal.

• Shi, P. and Lee, G. Y. (2022), Copula regression for compound distributions with endogenous covariates with applications in insurance deductible pricing, Journal of the American Statistical Association. (R and C++ Code, and Data)

• Lee, G. Y. (2021), Regression shrinkage and selection for actuarial models, Variance.

• Manski, S. and Yang, K. and Lee, G. Y. and Maiti, T. (2021), Loss amount prediction from textual data using a double GLM with shrinkage and selection, European Actuarial Journal. (R and C++ Code, and Data)

• Gavagan, J. and Hu, L. and Lee, G. Y. and Liu, H. and Weixel, A. (2021), Optimal reinsurance with model uncertainty and Stackelberg game, Scandinavian Actuarial Journal.

• Manski, S. and Yang, K. and Lee, G. Y. and Maiti, T. (2021), Extracting information from textual descriptions for actuarial applications, The Annals of Actuarial Science.

• Lee, G. Y. and Manski, S. and Maiti, T. (2020), Actuarial applications of word embedding models, ASTIN Bulletin.

• Lee, G. Y. and Shi, P. (2019), A dependent frequency–severity approach to modeling longitudinal insurance claims, Insurance: Mathematics and Economics.

• Wang, K. and Ding, J. and Lidwell, K. R. and Manski, S. and Lee, G. Y. and Esposito, E. X.  (2019), Treatment level and store level analyses of healthcare data, Risks.

• Lee, G. Y. (2017), General insurance deductible ratemaking, North American Actuarial Journal.

• Frees, E. W. and Lee, G. Y. (2016), Rating endorsements using generalized linear models, Variance (Archive: old articles will be organized here soon).

• Frees, E. W. and Lee, G. Y. and Yang, L. (2016), Multivariate frequency-severity regression models in insurance, Risks.

Works submitted & under progress

• Lee, G. Y. and Liu, H. and Shi, P., Insurance risk retention under dependent risks (working paper, to be submitted to an actuarial journal).

• Jeong, H. and Lee, G. Y. and Shi, P., Ratemaking with endogenous deductibles (This is a working paper in its early stage).

Conferences organized

• Simon Conference 2023 for Young Researchers in Risk Management and Insurance (Organizers: Cohen, A. and Lee, G. Y. and Liu, Haiyan.). [2023 website]. The conference was cited in Expanding Horizons (April 2024), published by the Society of Actuaries. Here is a link to the article.

• Simon Conference 2019 for Young Researchers in Risk Management and Insurance (Organizers: Cohen, A. and Moenig, T. and Lee, G. Y. and Viens, F.). The conference was cited in Expanding Horizons (June 2020), published by the Society of Actuaries. Here is a link to the article.

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