Emily Wenger is a 5th year PhD candidate advised by Ben Zhao and Heather Zheng at the University of Chicago, where her time is spent researching open questions at the intersection of machine learning and security and privacy. Her dissertation work revolves around the question of how users can retain personal privacy and agency in the brave new world of ubiquitous deep learning models, biometrics, and surveillance systems. Her research has been published at the top venues in computer security and computer vision, and featured by wide range of media outlets from New York Times, MIT Technology Review, to news agencies in 15+ countries. Emily is a co-lead on the Fawkes image cloaking project, which has seen over 900,000 app downloads worldwide, and worked at Meta AI Research as an intern and researcher. She is the recipient of the GFSD, Harvey, UChicago Neubauer fellowships, and the UChicago Harper dissertation fellowship. Emily graduated in 2016 from Wheaton College with a double major in Mathematics and Physics.
Ph.D. , Computer ScienceClass of 2023