CV

Skills

• R
• C++
• SQL
• Matlab
• SAS

Academic Interest

• Multi-scale predictive modeling in public health and environmental sciences, particularly for data exhibiting spatiotemporal dependence, such as fine particulate matter concentrations derived from monitoring sites and numerical model outputs
• Development of highly efficient algorithms, such as variational Bayes and ensemble methods
• Semiparametric modeling, such as kernel regression
• Change point detection
• Interdisciplinary applications like infectious diseases such as schistosomiasis, influenza vaccines, and chronic diseases such as long COVID

Review Activity

• Applied Soft Computing
• PLOS Neglected Tropical Diseases
• Computational Statistics & Data Analysis
• Aerosol and Air Quality Research
• Biostatistics & Epidemiology
• …

Research Paper

Comorbidity Exposure-Window Definitions and Multidimensional Disparities in Long COVID Risk: Evidence from a U.S. National Cohort (2020–2024)

Chen Y, Chen Z, Ge Y, ..., Shen Y*. (2026). "Comorbidity Exposure-Window Definitions and Multidimensional Disparities in Long COVID Risk: Evidence from a U.S. National Cohort (2020–2024)." First-round revision.

A robust and efficient tail-adaptive approach for change-point detection in semiparametric models

Chen W, Chen Y, Jing B, Zhou W, and Hu Y. (2026). "A robust and efficient tail-adaptive approach for change-point detection in semiparametric models." SCIENCE CHINA Mathematics. 69.

Mapping spatial and social inequities of long COVID across the United States: A retrospective cohort study

Chen Z, Li B, Chen Y, Liu J, et al. (2026). " Mapping spatial and social inequities of long COVID across the United States: A retrospective cohort study." The Lancet Regional Health - Americas. 56: 101401.

Estimating semiparametric models for spatiotemporal data with complex dependence structures

Chen Y, Chu T, Zhou C, Shen Y, and Huang H. (2026). "Estimating semiparametric models for spatiotemporal data with complex dependence structures." Peer review.

Joint modeling and dynamic ensemble forecasting of influenza vaccine responses from complex longitudinal trajectories

Chen Y, Zhang Y, and Shen Y. (2026). "Joint modeling and dynamic ensemble forecasting of influenza vaccine responses from complex longitudinal trajectories." First-round revision.

Estimating direct and indirect treatment effects and ranking treatment regimens in spacetime-dependent cluster randomized trials: a Schistosomiasis case study

Chen Y, Wen X, Luo F, Yang Y, and Shen Y. (2025). "Estimating direct and indirect treatment effects and ranking treatment regimens in spacetime-dependent cluster randomized trials: a Schistosomiasis case study." Third-round revision.

Predicting influenza vaccine-elicited antibody responses with practical point system

Shen Y, Sung M, Ge Y, Chen Y, Carlock M, et al. (2025). "Predicting influenza vaccine-elicited antibody responses with practical point system." Vaccine. 64: 127737.

Epidemiology of influenza before, during, and after the COVID-19 pandemic in China: An observational study from Zhejiang, China (2010–2023)

Chen Y, Luo F, Ling F, et al. (2025). "Epidemiology of influenza before, during, and after the COVID-19 pandemic in China: An observational study from Zhejiang, China (2010–2023)." Second-round revision.

Identifying key aspects to enhance predictive modeling for early identification of schistosomiasis hotspots to guide mass drug administration

Chen Y, Luo F, Martinez L, Jiang S, and Shen Y. (2025). "Identifying key aspects to enhance predictive modeling for early identification of schistosomiasis hotspots to guide mass drug administration." PLOS Neglected Tropical Diseases. 19(7): e0013315.

Development and external validation of the FluScoreVax risk score for influenza that incorporates vaccine status

Ebell M, Chen Y, Luo F, Shen Y, et al. (2025). "Development and External Validation of the FluScoreVax Risk Score for Influenza That Incorporates Vaccine Status." The Journal of the American Board of Family Medicine. 38(3): 401-410.

Composite quantile regression for a distributed system with non-randomly distributed data

Jin J, Hao C, and Chen Y. (2025). "Composite quantile regression for a distributed system with non-randomly distributed data." Statistical Papers. 66(1): 1.

Effective and robust clustering for spatiotemporally dependent data

Wang F, Chen W, Hu Y, and Chen Y. (2024). "Effective and robust clustering for spatiotemporally dependent data." Metrika. 1-24.

Efficient and effective calibration of numerical model outputs using hierarchical dynamic models

Chen Y, Chang X, Zhang B, and Huang H. (2024). "Efficient and effective calibration of numerical model outputs using hierarchical dynamic models." The Annals of Applied Statistics. 18(2): 1064-1089.

Social mixing and network characteristics of COVID-19 patients before and after widespread interventions: A population-based study

He Y, Martinez L, Ge Y, Feng Y, Chen Y, et al. (2023). "Social mixing and network characteristics of COVID-19 patients before and after widespread interventions: A population-based study." Epidemiology & Infection. 151: e141.

Additive dynamic models for correcting numerical model outputs

Chen Y, Chang X, Luo F, and Huang H. (2023). "Additive dynamic models for correcting numerical model outputs." Computational Statistics & Data Analysis. 107799.

Generalized Pareto distribution change-point detection model and its applications in modeling return period prediction

Hu Y, Chen Y*, Wang X, and Liu W. (2021). "Generalized Pareto distribution change-point detection model and its applications in modeling return period prediction." Systems Engineering-Theory & Practice. 41(09): 2379-2391.

A likelihood ratio model for change point detection of generalized Pareto distribution

Hu Y and Chen Y. (2021). "A likelihood ratio model for change point detection of generalized Pareto distribution." Acta Mathematicae Applicatae Sinica. 44(04): 553-573.