Ph.D. student Jessica Hoffmann received second place in the INFORMS Nicholson Student Paper Competition. She received this award for her recent paper "Learning Graphs from Noisy Epidemic Cascades." Epidemics are a powerful framework for modeling human and computer viruses, as well as influence, rumors, information and disinformation. This work develops algorithms to solve an inverse problem on graphs, in order to understand the precise spreading mechanisms.

From the Nicholson website, "The George Nicholson Committee competition is held each year to identify and honor outstanding papers in the field of operations research and the management sciences written by a student."

Jessica is a 4th year Ph.D. student working with Prof. Constantine Caramanis.