Duncan Dauvergne

Duncan Dauvergne is an Assistant Professor in the Department of Mathematics at the University of Toronto, with a primary affiliation at the St. George campus and a secondary office at the Mississauga campus. His research focuses on probability theory, particularly the KPZ universality class, directed landscape, and random sorting networks. He is a recipient of the 2023 Rollo Davidson Prize for his groundbreaking work on random sorting networks and the construction of the directed landscape.

His academic background includes a PhD and postdoctoral research in probability-related fields, though specific educational details are not explicitly provided in the text. His work bridges probability, combinatorics, and statistical mechanics, with key contributions to understanding scaling limits in stochastic growth models and geodesic networks.

Research Interests:

• Probability theory and stochastic processes
• KPZ universality class and directed landscape
• Random sorting networks and permutation models
• Infection spread dynamics in moving populations
• Random polynomials and zero distribution

Notable Achievements: The 2023 Rollo Davidson Prize recognizes his transformative contributions to probability theory. His research has advanced understanding of KPZ universality through studies of directed landscapes, geodesic networks, and last passage percolation models. He has also contributed to infection spread modeling and random polynomial theory.

He maintains active collaborations with leading mathematicians such as Bálint Virág and Lingfu Zhang. His work is supported by grants and institutional resources at the University of Toronto.