Regular biography
Dr Peter Braunsteins is a lecturer in statistics at the School of Mathematics & Statistics, The University of New South Wales. He received his PhD from the University of Melbourne in 2018 and previously held postdoctoral positions at the University of Amsterdam and KAUST. His research focuses on the probabilistic and statistical properties of stochastic processes, with contributions in branching processes, random graphs, and spatial extremes. Dr Braunsteins' work includes publications in journals such as the Journal of the American Statistical Association and Stochastic Processes and their Applications.
Scholar-generated biography
Peter Braunsteins is a Lecturer at UNSW Sydney, specializing in mathematical modeling and stochastic processes. His research focuses on branching processes, particularly extinction probabilities in processes with countably many types, and the application of large deviation principles to dynamic random graphs. He also investigates graphon-valued processes, opinion dynamics on dense random graphs, and parameter estimation in branching processes. His work explores the interplay between coupling, deviation matrices, and queueing systems, as well as spatial extremes and infection models. Braunsteins' research bridges probability theory, statistical inference, and complex systems, offering insights into population dynamics and network behavior.