Jonathan Williams

Jonathan Williams is an Assistant Professor in the Department of Statistics at NC State University. His research focuses on foundational statistical methodologies, including Bayesian inference, hidden Markov models, and applications in medical science and multivariate time-series analysis. He holds a Ph.D. in Statistics from the University of North Carolina, Chapel Hill (2019).

Education:

• Ph.D. in Statistics, University of North Carolina, Chapel Hill (2019)

Research Interests:

• Development of robust statistical models for complex data structures
• Applications of Bayesian methods in healthcare and conflict analysis
• Advancements in conformal prediction and uncertainty quantification
• Transfer learning and multivariate time-series analysis

Key Research Trends in Publications: Recent works emphasize methodological innovations in generalized fiducial inference, conformal prediction for heterogeneous domains (e.g., astronomy, housing markets), and Bayesian modeling in dynamic systems like conflict dynamics and medical progression studies.

Advising & Grants: No specific advising or grant details provided in the text, though his academic role suggests involvement in graduate student mentorship and research funding activities typical of his rank.