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, health informatics, and trustworthy & inclusive artificial intelligence (AI). I investigate technical, societal, and domain-specific research topics towards an ideal future where computing technologies leverage people’s personal data in appropriate, fair, and meaningful ways.

Please see the Students page for my PhD recruitment plan.

News

  • (Oct 2023) My first-authored paper, titled “Understanding how to inform blind and low-vision users about data privacy through privacy question answering assistants”, is accepted by the 2024 USENIX Security Symposium! Read our preprint for insights into blind and low-vision users’ expectations when it comes to usability, accessibility, trust and equity issues regarding digital data privacy.

  • (July 2023) Happy to share my co-authored paper, titled “Exploring smart commercial building occupants’ perceptions and notification preferences of Internet of Things data collection in the United States”, published by the 2023 IEEE European Symposium on Security and Privacy (EuroS&P)!

  • (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. Published in the 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).

  • (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)!