Faculty Profile
Fan Bu, PhD
- Assistant Professor, Biostatistics
I am broadly interested in Bayesian and computational statistics for analyzing large-scale
and complex data. I am particularly interested in spatio-temporal statistics, network
inference, infectious disease models, and distributed learning. My methodological
research has been motivated by applications in public health, observational healthcare
studies, computational social science, and sports sciences.
- PhD, Statistics, Duke University, 2021
- BS, Mathematics, Peking University, 2017
Research Interests: Bayesian statistics, statistical computation, dynamic and stochastic
models, spatio-temporal models, and network inference. With applications in infectious
disease models, health data science, and computational social science.
Research Projects:
Research Projects:
- Likelihood-based inference on federated and distributed data
- Vaccine safety surveillance using sequential observational data
- Partially observed epidemics on dynamic contact networks
- Bayesian Safety Surveillance with Adaptive Bias Correction (2023). Statistics in Medicine.
- Inferring HIV Transmission Patterns from Viral Deep-Sequence Data via Latent Spatial Poisson Processes (2023). Biometrics.
- Likelihood-based Inference for Partially Observed Epidemics on Dynamic Networks (2020). Journal of the American Statistical Association.
Areas of Expertise: Biostatistics, COVID-19, Diabetes, Global Public Health, Health Care, Health Informatics, Health Policy, Infectious Disease, Modeling, Social Epidemiology, Vaccines