معرفی
Georgia Papadogeorgou is an Assistant Professor in the Department of Statistics at the University of Florida. Her research focuses on causal inference and Bayesian modeling, with applications in spatio-temporal data, policy evaluation, environmental sciences, and political science. She holds a PhD in Biostatistics from Harvard University (2018), an MA in Biostatistics from Harvard (2015), and a BSc in Mathematics from the National and Kapodistrian University of Athens (2013).
Education:
- PhD in Biostatistics, Harvard University (2018)
- MA in Biostatistics, Harvard University (2015)
- BSc in Mathematics, National and Kapodistrian University of Athens (2013)
Research Interests: Dr. Papadogeorgou develops flexible statistical methods to address causal questions in complex settings, particularly involving spatial and spatio-temporal data. Her work emphasizes mitigating unmeasured confounding, handling interference, and creating tools for researchers. Recent topics include evaluating policy impacts (e.g., hospital readmissions programs, airstrikes), analyzing ecological interactions, and addressing bias in observational studies.
Publications: Her recent work spans causal inference frameworks for spatial panel data, bipartite networks with interference, and aggregated Hawkes processes. These contributions highlight innovative approaches to modeling treatment effects in dynamic and spatially interconnected systems.
Awards & Grants: While no explicit awards are listed, her research has led to impactful software tools like the geocausal R package for spatio-temporal causal inference. She collaborates actively with institutions like Duke University and Harvard on environmental and public health projects.
Advocacy & Software: Dr. Papadogeorgou contributes to statistical software development, including R packages for causal inference and spatial analysis. Her work bridges methodological innovation with practical applications in policy and environmental science.
