news

Apr 5, 2025 Giving a talk on finding super-spreaders and change-point detection at the Dynamics on Networks workshop, hosted at the University of Pittsburgh’s Math department.
Feb 28, 2025 Gave a seminar talk at NJIT’s Electrical and Computer Engineering department.
Jan 15, 2025 New paper on detecting abrupt changes in point processes with Anna Brandenberger and Elchanan Mossel, which, among other things, solves some open problems in our previous work on finding super-spreaders.
Jan 7, 2025 Our paper on the average-case and smoothed analysis of graph isomorphism with Julia Gaudio and Miki Rácz has been accepted to the Annals of Applied Probability.
Dec 17, 2024 Giving a talk at the Center for Communications Research on finding super-spreaders in network cascades and change-point detection in inhomogeneous point processes.
Oct 20, 2024 I will be giving a talk on mean-field approximations and chairing a session on Networks, Dynamics and Inference at the Informs 2024 conference.
Oct 14, 2024 Gave talks at Northwestern and Brown on finding super-spreaders in network cascades and change-point detection in inhomogeneous point processes.
Jun 30, 2024 New paper on finding super-spreaders in network cascades to be presented at COLT 2024. Joint work with Elchanan Mossel (MIT).
Mar 14, 2024 Speaking about quickly tracking network cascades at a session on Advances in Sequential Analysis and Change Point Detection at the CISS 2024 conference.
Nov 16, 2023 Paper on mean-field approximations for stochastic processes on networks published in the SIAM Journal on Control and Optimization (SICON). Joint work with Soummya Kar.
Sep 19, 2023 New paper on the average-case and smoothed complexity of graph isomorphism. Joint work with Miki Rácz and Julia Gaudio.
Jun 25, 2023 Presented work on matching inhomogeneous random graphs and quickly tracking network cascades at ISIT 2023.
Jun 8, 2023 Paper on spreading processes with mutations on multi-layer networks published in the Proceedings of the National Academy of Sciences (PNAS). Joint work with Mansi Sood, Rashad Eletreby, Chai Wah Wu, Simon A. Levin, Osman Yagan and Vince Poor.