Tom James Stindl

Dr. Tom James Stindl is a Lecturer and statistician at the School of Mathematics and Statistics, UNSW Sydney. His work centers on point process models, particularly renewal Hawkes processes, with applications across finance, seismology, crime analysis, and bushfire modeling. He earned his Ph.D. in statistical inference for self-exciting point processes under Dr. Feng Chen at UNSW Sydney.

• Supervises PhD, MRes, and Honours students (e.g., Jason Lambe, Zhe Han)
• Research focuses on computational statistics, Hawkes processes, and Bayesian/non-parametric methods
• Key grant: "Inference for Hawkes processes with challenging data" (Australian Research Council, 2024-2026)

His recent publications analyze statistical inference techniques for point process models, though specific titles aren't listed here. Teaching includes courses like Statistical Inference and Statistical Modelling and Computing. Contact: t.stindl@unsw.edu.au