Rate My Professor Malwina Luczak

Professor Malwina Luczak holds the position of Professor of Applied Probability and Leverhulme International Professor at the Department of Mathematics, University of Manchester, where she joined in May 2023. She previously served as Professor at the University of Melbourne from 2017, holding an Australian Research Council (ARC) Future Fellowship; Professor at Queen Mary University of London; Professor at the University of Sheffield from 2010 with an Engineering and Physical Sciences Research Council (EPSRC) Leadership Fellowship; Reader in Mathematics at the London School of Economics; and assistant lecturer at the Statistical Laboratory, University of Cambridge. Luczak obtained her D.Phil. from the University of Oxford in 2001, with a thesis titled "Probability, algorithms and telecommunication systems" supervised by Colin McDiarmid and Dominic Welsh.

Her research focuses on applied probability, including the theory of random graphs, stochastic processes on networks such as epidemic models, queueing theory (e.g., supermarket model), cores and giant components in random graphs, and mixing times of Markov chains like Glauber dynamics for the Ising model. Notable publications include "On the maximum queue length in the supermarket model" (with C. McDiarmid, Annals of Probability, 2006), "A simple solution to the k-core problem" (with S. Janson, Random Structures & Algorithms, 2007), "A new approach to the giant component problem" (with S. Janson, Random Structures & Algorithms, 2009), "Glauber dynamics for the mean-field Ising model: cut-off, critical power law, and metastability" (with D.A. Levin and Y. Peres, Probability Theory and Related Fields, 2010), "Long-term concentration of measure and cut-off" (with A. Barbour and G. Brightwell, Stochastic Processes and their Applications, 2022), and "A Note on the Markovian SIR Epidemic on a Random Graph with Given Degrees" (Journal of Theoretical Probability, 2024). Luczak has received major awards including the Leverhulme International Professorship (2022), ARC Future Fellowship (2017–2021), and EPSRC Leadership Fellowship (2010–2015). Her work provides foundational insights into the behavior of large-scale random systems, influencing studies in epidemics and networks.