CV

Education

09/2018 – 08/2023: Ph.D. in Statistics, Sun Yat-sen University, China
Advisor: Prof. Hui Huang
Dissertation: Several Problems in Modeling Complex SpatioTemporal Data

Experience

12/2023 – present: Postdoctoral Associate
- Epidemiology and Biostatistics, University of Georgia, USA
- Supervisor: Prof. Ye Shen
07/2016 – 07/2018: Faculty
- Guizhou Minzu University, China
- Achievement: In November 2017, a team under my guidance won the second prize in the National College Student Mathematical Modeling Competition
10/2015 – 01/2016: Internship
- SAS Institute Inc., Guangzhou, China
- Developing prediction models of Biostime infant milk

Award

The second prize (Outstanding paper): 6th National Forum for Statistics Ph.D. Candidate (11-2022)
The third Prize (National Statistics Modeling Competition): Big Data Modeling Group (11-2015)
The first prize (Mathematical Modeling Competition): 4th Shenzhen Cup for Forecasting Potential Flood Losses in Shenzhen (08-2014)

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

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.

Multidimensional Disparities in Comorbidity–Associated Risk of Long COVID: Evidence from a U.S. National Cohort (2020–2024)

Chen Y, Chen Z, Ge Y, ..., Shen Y*. (2026). "Multidimensional Disparities in Comorbidity–Associated Risk of Long COVID: Evidence from a U.S. National Cohort (2020–2024)." To submit.

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. (2025). "Joint modeling and dynamic ensemble forecasting of influenza vaccine responses from complex longitudinal trajectories." Peer review.

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." Revised.

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)." Peer review.

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.

Yewen Chen

CV