Dr Thomas Taimre is a Senior Lecturer in Statistics in the School of Mathematics and Physics, Faculty of Science, at the University of Queensland. He completed his BSc in Mathematics and Statistics in 2003, BSc with First Class Honours in Statistics in 2004, and PhD in Mathematics in 2009, all from the University of Queensland. His doctoral thesis, 'Advances in Cross-Entropy Methods,' addressed advancements in rare-event simulation techniques within the School of Physical Sciences. Taimre's research encompasses applied probability, extreme value theory, Monte Carlo methods, queueing theory, random graphs, rare-event simulation, risk theory, stochastic networks, and laser feedback interferometry. He applies statistical and probabilistic modeling to terahertz quantum cascade lasers, enabling innovations in imaging and sensing technologies such as subwavelength 3D terahertz imaging and terahertz imaging of human skin pathologies.

Throughout his career at the University of Queensland, Taimre has co-authored influential publications bridging mathematics, statistics, and physics. Key books include 'Handbook of Monte Carlo Methods' (2011, with Dirk P. Kroese, Zdravko I. Botev, and Reuven Y. Rubinstein), 'Data Science and Machine Learning: Mathematical and Statistical Methods' (2019, with Dirk P. Kroese, Zdravko I. Botev, and Radislav Vaisman; second edition 2025), and 'The Elements of Hawkes Processes' (2021, with Patrick J. Laub and Young Lee). Prominent journal articles feature 'Hawkes Models and Their Applications' (2025, with Patrick J. Laub, Young Lee, and Philip K. Pollett), 'Shaping Terahertz Harmonic Frequency Combs with Frequency-Dependent External Reflectors' (2025, with Carlo Silvestri, Xiaoqiong Qi, and Aleksandar D. Rakić), 'Terahertz Imaging of Human Skin Pathologies Using Laser Feedback Interferometry with Quantum Cascade Lasers' (2023, with Xiaoqiong Qi et al.), 'Frequency Combs Induced by Optical Feedback and Harmonic Order Tunability in Quantum Cascade Lasers' (2023, with Carlo Silvestri, Xiaoqiong Qi, and Aleksandar D. Rakić), and 'Rare-Event Simulation Techniques for Structured Fisheries Models' (2023, with Hermanus M. Jansen and Michel Mandjes). His contributions advance simulation methodologies for complex systems and support ARC-funded projects in data science and sensing. Taimre is available for supervision.

Professional Email: t.taimre@uq.edu.au