معرفی
Nathaniel Josephs is an Assistant Professor in the Department of Statistics at NC State University. His research focuses on networks, Bayesian nonparametrics, and causal inference, with applications spanning social science, materials science, and biostatistics. He holds a Ph.D. in Statistics from Boston University (2021).
Education
- Ph.D. in Statistics, Boston University, 2021
Research Interests
Josephs specializes in developing statistical methodologies for network data analysis, including Bayesian approaches for community detection, hypergraph models, and applications in epidemiology, sports analytics, and microbiome studies. His work bridges theoretical statistics with practical challenges in diverse fields such as OLED material prediction and oncology outcomes research.
Publications
Recent work includes advancements in network scale-up methodologies, hypergraph-based scoring systems, and Bayesian classification for microbiome data. His research demonstrates a strong emphasis on interdisciplinary applications, combining rigorous statistical frameworks with real-world problems in health sciences and engineering.
Awards & Grants
No awards or grants explicitly listed in available materials.
Advising & Labs
No advising information or lab affiliations specified in the provided text.
