Jianbin Tan

Jianbin Tan is a Researcher at Duke University in the Department of Biostatistics & Bioinformatics, working under the supervision of Prof. Anru Zhang and Prof. Pixu Shi. His academic journey includes a PhD in Statistics from Sun Yat-sen University (2023) and a visiting student experience at the School of Management, USTC (2022).

His research focuses on machine learning, generative modeling, and computational algorithms for data with dynamic, spatiotemporal, high-dimensional longitudinal, and functional time series structures. Applications span biological, health, epidemiological, and environmental sciences.

Recent publications highlight his work on functional clustering, Green's matching for dynamic systems, graphical PCA, and transmissibility modeling of infectious diseases. Key journals include Annals of Applied Statistics, JRSSB, JASA, and Biometrics.

Scientific awards include no explicitly stated honors. He has developed open-source tools for functional singular value decomposition, sparse equation matching, and missing data imputation, hosted on GitHub (MIT license). Related code repositories cover dynamic data analysis, electronic health records, and factor models.