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Jianbin Tan

Postdoctoral Associate
Duke University
jianbin.tan@duke.edu


Welcome to Jianbin's homepage!

I am currently a Postdoctoral Associate in the Department of Biostatistics & Bioinformatics, Duke University, supervised by Prof. Anru Zhang and Prof. Pixu Shi. I received my PhD in Statistics from Sun Yat-sen University in 2023, advised by Prof. Hui Huang. During my doctorate career, different projects have been carried out under the guidance of my PhD adviser, Prof. Yongtao Guan, Prof. Xueqin Wang, and Prof. Ye shen. I was a visiting student working with Prof. Xueqin Wang in the School of Management, USTC, in 2022.

My research interest lies in statistical modelling and algorithms for data with complex mechanisms, dependencies, heterogeneity, and intricate functional structures. Specifically, I have focused on statistical analysis of dynamic, spatiotemporal, and high-dimensional longitudinal/functional data, with applications to biological, health, epidemiological, and environmental sciences.

Research Paper

  1. Functional clustering for longitudinal associations between social determinants of health and stroke mortality in the US
    Fangzhi Luo, Jianbin Tan (joint first authorship), Donglan Zhang, Hui Huang, and Ye Shen.
    Under review.
  2. JRSSB
    Green’s matching: an efficient approach to parameter estimation in complex dynamic systems
    Jianbin Tan, Guoyu Zhang, Xueqin Wang, Hui Huang, and Fang Yao.
    Journal of the Royal Statistical Society, Series B (Statistical Methodology), 2024.
  3. JASA
    Grphical principal component analysis of multivariate functional time series
    Jianbin Tan, Decai Liang, Yongtao Guan, and Hui Huang.
    Journal of the American Statistical Association, 2024.
  4. I&E
    Social mixing and network characteristics of COVID-19 patients before and after widespread interventions: A population-based study
    Yuncong He, Leonardo Martinez, Yang Ge, Yan Feng, Yewen Chen, Jianbin Tan, Adrianna Westbrook, Changwei Li, Wei Cheng, Feng Ling, Huimin Cheng, Shushan Wu, Wenxuan Zhong, Andreas Handel, Hui Huang, Jimin Sun, and Ye Shen.
    Epidemiology & Infection, 2023.
  5. BIOM
    Age-related model for estimating the symptomatic and asymptomatic transmissibility of COVID-19 patients
    Jianbin Tan, Ye Shen, Yang Ge, Leonardo Martinez, and Hui Huang.
    Biometrics, 2023.
  6. I&E
    Transmission roles of symptomatic and asymptomatic COVID-19 cases: a modelling study
    Jianbin Tan, Yang Ge, Leonardo Martinez, Jimin Sun, Changwei Li, Adrianna Westbrook, Enfu Chen, Jinren Pan, Yang Li, Wei Cheng, Feng Ling, Zhiping Chen, Ye Shen, and Hui Huang.
    Epidemiology & Infection, 2022.
  7. JASA
    The effects of stringent and mild interventions for coronavirus pandemic
    Ting Tian, Jianbin Tan (joint first authorship), Wenxiang Luo, Yukang Jiang, Minqiong Chen, Songpan Yang, Canhong Wen, Wenliang Pan, and Xueqin Wang.
    Journal of the American Statistical Association, 2021.
  8. JDS
    Evaluate the risk of resumption of business for the states of New York, New Jersey and Connecticut via a pre-symptomatic and asymptomatic transmission model of COVID-19
    Ting Tian, Jianbin Tan (joint first authorship), Yukang Jiang, Xueqin Wang, and Heping Zhang.
    Journal of Data Science, 2021.