Tom Stindl

Dr. Tom Stindl is a Lecturer at the School of Mathematics & Statistics, UNSW Sydney. His research focuses on statistical inference for self-exciting point processes, particularly the renewal Hawkes process and its marked/multivariate variants, with applications in finance, seismology, crime, and bushfire modeling.

• Core research areas: Hawkes Processes, Computational Statistics, and Spatiotemporal Modeling.
• Supervised PhD/MRes/Honours students including Jason Lambe, Zhe Han, and Toby Mufford.
• Developed R packages RHawkes and MRHawkes for statistical modeling.

His recent publications (2017–2025) analyze Hawkes processes for earthquake declustering, financial risk forecasting, and Bayesian ETAS modeling. He received the Early Career Teaching Excellence award from UNSW's Faculty of Science for courses like MATH3821 and DATA3001. A current Australian Research Council Discovery Project (2024–2026, $463,452) explores Hawkes processes with challenging data.