Rachel Greenstadt is a Professor of Computer Science at New York University where she teaches graduate-level courses in computer security and privacy. She founded the Privacy, Security, and Automation Laboratory at Drexel University in 2008. She leads a research team of PhD students and undergraduates with interests and expertise in information extraction, machine learning, human-centered computing, privacy, trust, and security. Dr. Greenstadt’s scholarship has been recognized by the privacy research community. She is an alum of the DARPA Computer Science Study Group and a recipient of the NSF CAREER Award. Her work has received the PET Award for Outstanding Research in Privacy Enhancing Technologies, the USENIX Distinguished Paper Award, the CSCW Best Paper Award, and the Andreas Pfitzmann Best Student Paper Award. She served as co-editor-in-chief of the journal Proceedings on Privacy Enhancing Technologies (PoPETs) for the 2017 and 2018 volumes and was the co-program-chair of the 2021 USENIX Security Symposium.  Her research has been featured in the New York Times, the New Republic, Der Spiegel, and other local and international media outlets.