Scholar
Paul N Zivich III
Google Scholar ID: hbU-gZ0AAAAJ
Assistant Professor, University of North Carolina at Chapel Hill
Citations & Impact
Citations
1,603
H-index
17
i10-index
28
Publications
20
Co-authors
13
list available
Contact
Publications
Browse publications on Google Scholar (top-right) ↗
Resume (English only)
Academic Achievements
- Published multiple papers on causal inference, estimating equations, and infectious diseases. Developed delicatessen, a Python library for general application of estimating equations. Specific research projects include synthesis modeling, proximal causal inference, data fusion, and machine learning in causal inference.
Research Experience
- Research Assistant Professor in the Department of Epidemiology at University of North Carolina at Chapel Hill. Major research areas include non-standard causal inference, estimating equations, and infectious disease epidemiology.
Education
- PhD in Epidemiology from University of North Carolina at Chapel Hill; MPH in Epidemiology from The Ohio State University.
Background
- Interests are in causal inference with potential outcomes, infectious disease prevention, and computational aspects of epidemiology. His work has ranged from assessing the performance of estimators through simulation studies to free and open source software (FOSS) to collection of contact network data with electronic sensors to application of causal inference in the context of infectious disease and social epidemiology.
Miscellany
- Personal interests include promoting FAIR principles for research software, with code available on Zenodo.
