Jonathan P Williams

Brief biography
Welcome to my webpage! I am an Associate Professor (with tenure) in the Department of Statistics at North Carolina State University. My PhD is in Statistics from UNC at Chapel Hill, and I have an MS in Mathematics from the Courant Institute of Mathematical Sciences at NYU.

Link: Curriculum Vitae
Link: Google Scholar Profile

Current research interests

• Foundations of statistics
• Imprecise probability
• Conformal prediction
• Hidden Markov models
• Transfer learning
• Medical science applications
• Conflict research applications

Collaborations: I often get email solicitations for collaborative work (from people in industry or students outside of NC State University) relating to my research. Please see my collaborations page: link

News

Check out my recent review of Roderick Little's book "Seminal ideas and controversies in statistics" (in press at JASA): website. I had been thinking along these lines for designing my next course, and once I read this book I instantly knew this is the inspiration I was looking for! Course proposal to come for Spring 2028, aimed at Statistics PhD students. Meanwhile, Professor Little will visit the NC State Statistics Department to give a seminar on this book in October 2026 - don't miss out!!

Congratulations to former student Alexander Muprh on his Tenure-Track Assistant Professor position in the Dept. of Psychiatry at University of Pittsburgh, beginning Fall 2026: website

I’d like to recognize the following students on impressive job placements for the 2025-2026 academic year:
Salil Koner -- Tenure-Track Assistant Professor, Dept. of Statistics at UC Riverside: website
Emmett Kendall -- Tenure-Track Assistant Professor, Dept. of Mathematical Sciences at UT Dallas: website
Neil Dey -- Machine Learning Engineer at Google: website

I have accepted an invitation to participate on-site at the Chennai Mathematical Institute, for the Banff International Research Station for Mathematical Innovation and Discovery (BIRS) workshop: Game-Theoretic Statistical Inference: Optional Sampling, Universal Inference, and Multiple Testing based on E-Values, Sunday, June 29 to Friday, July 4, 2025!