Keywords
Fields of Research (FoR)
Approximation theory and asymptotic methods, Partial differential equations, Dynamical systems in applicationsBiography
Justin Tzou completed a Bachelor of Applied Science in Engineering Physics at the University of British Columbia (Vancouver, BC, Canada) in 2007. He obtained a PhD in Applied Mathematics at Northwestern University (Evanston, IL, USA) in 2012, followed by postdoctoral positions at Dalhousie University and the University of British Columbia. He subsequently held an academic position at Macquarie University (2017-2026) before joining the School...view more
Justin Tzou completed a Bachelor of Applied Science in Engineering Physics at the University of British Columbia (Vancouver, BC, Canada) in 2007. He obtained a PhD in Applied Mathematics at Northwestern University (Evanston, IL, USA) in 2012, followed by postdoctoral positions at Dalhousie University and the University of British Columbia. He subsequently held an academic position at Macquarie University (2017-2026) before joining the School of Mathematics and Statistics at UNSW Sydney.
My Grants
Australian Research Council Discovery Project DP220101808 (co-CI with Leo Tzou, University of Melbourne) Microlocal Analysis - A Unified Approach for Geometric Models in Biology; $405,000 over 3 years
My Research Activities
Justin Tzou's research focuses on pattern formation, diffusion and stochastic search processes, with applications in biology, ecology, and physics. His approach combines asymptotic and numerical methods to estimate key quantities such as search times and stability thresholds and analyze how they depend on transport mechanisms and spatial geometry.
My Research Supervision
Areas of supervision
applied partial differential equations, asymptotic analysis, stochastic search processes, pattern formation
Currently supervising
Georgios Orfanakis (2026-present)
Past PhD students
Siwen Deng, Macquarie University, (2022-2025)