
About
Fan Bu is an Assistant Professor in the Department of Biostatistics at the University of Michigan School of Public Health. Their research bridges Bayesian and computational statistics with applications in public health, observational healthcare studies, computational social science, and sports sciences.
- PhD in Statistics from Duke University (2021)
- BS in Mathematics from Peking University (2017)
Research focuses on:
- Spatio-temporal statistics for modeling infectious disease spread
- Network inference methods for analyzing dynamic contact patterns
- Distributed learning frameworks for federated data analysis
Recent publications address vaccine safety surveillance, HIV transmission dynamics, and epidemic modeling on dynamic networks. Their work combines methodological innovation with real-world applications in health data science and computational social science.
Contact: fbu@umich.edu | Office: M4015 SPH II, 1415 Washington Heights, Ann Arbor, MI
Research fields
Bayesian statisticsstatistical computationdynamic and stochastic modelsspatio-temporal modelsnetwork inferenceinfectious disease modelshealth data sciencecomputational social sciencesports sciencesbiostatisticsCOVID-19diabetesglobal public healthhealth carehealth informaticshealth policymodelingsocial epidemiologyvaccines
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