معرفی
Paul Jenkins is a Professor in the Departments of Statistics and Computer Science at the University of Warwick, where he conducts research at the intersection of statistical methodology, computational biology, and population genetics. He is an active member of the Warwick Machine Learning group, focusing on probabilistic AI and computational statistical methods.
His research centers on Monte Carlo methods, inference from stochastic processes, mathematical population genetics, and machine learning applications. Professor Jenkins develops sophisticated statistical techniques for analyzing genetic data, with particular emphasis on Wright-Fisher diffusion processes, coalescent theory, Bayesian inference methods, and recombination rate estimation. His work bridges theoretical statistical development with practical applications in evolutionary biology and genomic epidemiology.
Professor Jenkins teaches advanced courses including ST341 Statistical Genetics, ST418 Statistical Genetics with Advanced Topics, and ST407 Monte Carlo Methods. He currently supervises undergraduate and Masters projects through modules CS350, ST415, ST421, and ST955, though he notes he cannot accept undergraduate projects or internships from outside Warwick.
His publication record demonstrates consistent high-impact research output, with numerous publications in top-tier journals including Annals of Applied Probability, Genetics, PLoS Genetics, and Bioinformatics. Recent work shows increasing interdisciplinary reach, with applications spanning from viral evolution (SARS-CoV-2 recombination) to healthcare analytics (multimorbidity modeling).
- Warwick Machine Learning Group: Active contributor to probabilistic AI research initiatives
- Current recruitment: Seeking postdoctoral Research Fellow in Probabilistic AI
