I’m an Assistant Professor in the Department of Computer Science at the University of Vermont (UVM). Before coming to UVM, I was a postdoctoral researcher in the School of Computer Science at Carnegie Mellon University (CMU) and earned my PhD degree from the College of Computing & Informatics at Drexel University.

My research is at the intersection of human-computer interaction (HCI), usable privacy & security, privacy-enhancing technologies, health informatics, ubiquitous computing, and applied machine learning/artificial intelligence (ML/AI). Overall, I investigate both social and technical research topics to ensure the use of people’s personal information/data is appropriate, fair, and meaningful. See my Research page for more details.

I’m recruiting Ph.D. students and project-based undergraduate/master’s research assistants. Please see the Students page for details.


  • (March 2023) Happy to share that our paper, titled “Exploring smart commercial building occupants’ perceptions and notification preferences of Internet of Things data collection in the United States”, is accepted by the 2023 IEEE European Symposium on Security and Privacy (EuroS&P)! arXiv preprint available.

  • (July 2022) Happy to share our paper, titled “How usable are iOS app privacy labels?”, that examines the usability of Apple’s iOS app privacy label from end users’ perspective. To appear in Proceedings of Privacy Enhancing Technologies (PoPETS). Read CyLab’s news article about this research!

  • (June 2022) Super excited to share our published paper “Stop the spread: A contextual integrity perspective on the appropriateness of COVID-19 vaccination certificates” at the ACM Conference on Fairness, accountability, and Transparency (FAccT’22) !

  • (June 2022) Our workshop paper detailing Privacy Label Wiz, a developer tool that helps app developers create accurate privacy labels is published in the Proceedings of 2022 IEEE European Symposium on Security and Privacy Workshops (EuroS&PW).

  • (May 2022) We are presenting Privacy Label Wiz, a developer tool that helps app developers create accurate privacy labels at the Conference on Privacy Engineering Practice and Respect (PEPR’22)!

  • (April 2022) Our paper “Helping mobile application developers create accurate privacy labels” has been accepted by the 2022 International Workshp on Privacy Engineering (IWPE’22) , which is co-loacated with the IEEE European Symposium on Security and Privacy.

  • (January 2022) Our 2021 PoPETS paper “Did you know this camera tracks your mood?”: Understanding Privacy Expectations and Preferences in the Age of Video Analytics has won the 12th Annual Privacy Papers for Policymakers Award from the Future of Privacy Forum (FPF)!