Rate My Professor Malwina Luczak

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.