I am a Ph.D. candidate in the Human-Computer Interaction Institute at Carnegie Mellon University, advised by Sauvik Das and Jodi Forlizzi. My research asks a central question: How does AI change privacy, and what should we do about it? (talk at CMU’s Current Topics in Privacy Seminar) I study real-world AI development to uncover the new privacy harms AI creates and the barriers development teams face in mitigating them. I then turn these findings into frameworks and tools that help teams overcome those barriers, such as a taxonomy of AI privacy risks and Privy, a system for envisioning and mitigating privacy risks in consumer-facing AI product concepts. I also study how AI systems shape people’s agency: my study of generative AI and critical thinking in knowledge work is the most-downloaded paper in CHI’s history, with over 160k downloads; I build interactive tools that empower people to bring AI systems into line with their own preferences, such as Purpose Mode, which lets people toggle off attention-capture patterns on social media sites. My work has been published in leading Privacy & Security, Human-Computer Interaction, and Responsible AI venues, including IEEE S&P, USENIX Security, AIES, CHI, TOCHI, and IJHCS. I have received a Best Paper Award (CHI 2024), a Distinguished Paper Award (USENIX Security 2024), and an Honorable Mention Award (CHI 2026), and I have been recognized with the K&L Gates Presidential Fellowship and the CyLab Presidential Fellowship. My research has been covered by the popular press, including the BBC, Bloomberg, Forbes, TechCrunch, and 404 Media.

During my PhD, I interned at IBM Research, Microsoft Research, and Brave.

 Research Interests: Privacy & Security, Human-Computer Interaction, Responsible AI

Publications