In her previous work, she demonstrated that de-anonymization is possible through analyzing linguistic style in a variety of textual media, including social media, cyber criminal forums, source code, and executable binaries. She is extending her work to develop countermeasures against de-anonymization. Aylin's other research interests include designing privacy enhancing tools to prevent unnecessary private information disclosure while quantifying and characterizing human privacy behavior. She holds a PhD in Computer Science from Drexel University and a Master of Science in Robotics from the University of Pennsylvania.