Dr. Rachel Greenstadt (PI) is an Associate Professor of Computer Science at Drexel University where she teaches graduate-level courses in computer security, privacy, and machine learning. She founded the Privacy, Security, and Automation Laboratory at Drexel University in 2008. Dr. Greenstadt was among the first to explore the effect of adversarial attacks on stylometric methods, and the first to demonstrate empirically how stylometric methods can fail in adversarial settings while succeeding in non-adversarial settings.

She has a history of speaking at hacker conferences including DEF CON 14, ShmooCon 2009, 31C3, and 32C3.

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 and the Andreas Pfitzmann Best Student Paper Award. She currently serves as co-editor-in-chief of the journal Proceedings on Privacy Enhancing Technologies (PoPETs). Her research has been featured in the New York Times, the New Republic, Der Spiegel, and other local and international media outlets.

@ragreens