Mario Kieburg

Mario Kieburg is an Associate Professor in Random Matrix Theory in the School of Mathematics and Statistics, Faculty of Science, at the University of Melbourne, a position he has held since March 2013. He earned his Dr. rer. nat. from the University of Duisburg-Essen in 2010 with a thesis titled Supersymmetry in Random Matrix Theory, receiving the Best Ph.D. Thesis award in the Physics Department in 2011. Kieburg also holds a Dr. habil. and was awarded the Postdoctoral Achievement Award by the State University of New York at Stony Brook in 2012. His postdoctoral appointments include positions at the University of Duisburg-Essen from 2007 to 2011, Stony Brook University from 2011 to 2013 under a Feodor Lynen Research Fellowship from the Alexander von Humboldt Foundation, and Bielefeld University starting in 2013. Kieburg's research centers on Random Matrix Theory, employing tools such as harmonic analysis, group and representation theory, orthogonal functions and polynomials, supersymmetry, and graded algebras. His work explores applications in quantum chaos, quantum field theory, quantum information theory, telecommunications systems, and time series analysis. He contributes to the Probability and its Applications Research Cluster and the Melbourne Initiative for Quantum Technology.

Kieburg has authored numerous influential publications in the field. Key works include Products of Rectangular Random Matrices: Singular Values and Progressive Scattering (Physical Review E, 2013, 196 citations), Volume-Law Entanglement Entropy of Typical Pure Quantum States (PRX Quantum, 2022, 180 citations), Universal Signature from Integrability to Chaos in Dissipative Open Quantum Systems (Physical Review Letters, 2019, 156 citations), Singular Value Correlation Functions for Products of Wishart Random Matrices (Journal of Physics A: Mathematical and Theoretical, 2013, 148 citations), and Weak Commutation Relations and Eigenvalue Statistics for Products of Rectangular Random Matrices (Physical Review E, 2014, 98 citations). He has delivered public lectures, such as Random Matrix Theory: A Tale of Drums, Earthquakes and Mobile Phones in 2020, and coordinates courses including Methods of Mathematical Physics, Random Matrix Theory, and Complex Analysis at the University of Melbourne. Kieburg has received funding from the Australian Research Council, including a Discovery Project grant with Professor Peter Forrester.

Professional Email: m.kieburg@unimelb.edu.au