Tim Sullivan

Dr. Tim Sullivan is an Associate Professor in Predictive Modelling at the University of Warwick, affiliated with the Mathematics Institute and School of Engineering. He serves as Co-Director of the Warwick Centre for Predictive Modelling. His research focuses on uncertainty quantification, inverse problems, probabilistic numerics, and mathematical data science. These areas bridge applied mathematics, computational science, and Bayesian statistics, emphasizing rigorous methodologies for modeling and analyzing complex systems under uncertainty.

His academic work includes contributions to kernel matrix compression, Bayesian probabilistic numerical methods, and critiques of Bayesian inference robustness. His recent publications (2011–2021) highlight themes in optimal uncertainty quantification, probabilistic numerical techniques for PDE-constrained problems, and foundational Bayesian analysis. Sullivan’s textbook Introduction to Uncertainty Quantification (2015) remains a key resource in the field.

In teaching roles, Sullivan oversees tutorial responsibilities across Mathematics and Engineering disciplines, including courses on predictive modeling fundamentals and control theory. His work at the Warwick Centre for Predictive Modelling underscores interdisciplinary collaboration in advancing computational and mathematical approaches to predictive science.