Rate My Professor Anthony Mays

Dr. Anthony Mays serves as a Lecturer in the School of Mathematical Sciences, College of Sciences, at the University of Adelaide, a position he has held since 2023. Previously, he was a Tutor at the University of Adelaide from 2022 to 2023. His academic career includes several roles at the University of Melbourne: Research Fellow from 2021 to 2022, Outreach Fellow from 2018 to 2020, and Melbourne Early Career Academic Fellow from 2016 to 2017. Earlier appointments encompass Postdoctoral Researcher at the Australian Research Council Centre of Excellence for Mathematical and Statistical Frontiers from 2014 to 2015, and Postdoctoral Researcher at Supélec from 2012 to 2014. Mays' research explores various directions within statistical physics, with focused interests in random matrix theory, combinatorics, juggling mathematics, and microfossil counting statistics. At the University of Adelaide, he teaches master's-level courses in probability and data science, including Statistical Methodology, Data Literacy, Probability & Statistics PG, Decision Science PG, and Data Taming.

Mays has made significant contributions to the field through peer-reviewed publications. Key works include 'Field-of-view subsampling: A novel "exotic marker" method for absolute abundances, validated by simulation and microfossil case studies' (PLoS One, 2025, co-authored with C. Mays and M. Amores); 'Finite size corrections relating to distributions of the length of longest increasing subsequences' (Advances in Applied Mathematics, 2023, with P. J. Forrester); 'Tracy-Widom Distributions for the Gaussian Orthogonal and Symplectic Ensembles Revisited: A Skew-Orthogonal Polynomials Approach' (Journal of Statistical Physics, 2021, with A. Ponsaing and G. Schehr); 'Determinantal polynomial wave functions induced by random matrices' (Physical Review A, 2018, with A. K. Ponsaing and D. M. Paganin); 'Finite Size Effects for Spacing Distributions in Random Matrix Theory: Circular Ensembles and Riemann Zeros' (Studies in Applied Mathematics, 2017, with F. Bornemann and P. J. Forrester); 'An induced real quaternion spherical ensemble of random matrices' (Random Matrices: Theory and Application, 2017, with A. Ponsaing); 'Finite-size corrections in random matrix theory and Odlyzko's dataset for the Riemann zeros' (Proceedings of the Royal Society A, 2015, with P. J. Forrester); and 'A Real Quaternion Spherical Ensemble of Random Matrices' (Journal of Statistical Physics, 2013). These publications highlight his expertise in probabilistic models, eigenvalue distributions, and applications to physical and biological systems.