I am a Ph.D. candidate in the Human-Computer Interaction Institute at Carnegie Mellon University, advised by Sauvik Das and Jodi Forlizzi. My PhD research seeks to answer the key question: How does AI change privacy, and what should we do about it? (my talk @ CMU Current Topics in Privacy Seminar) To that end, I develop tools that assist AI practitioners in identifying, reasoning about, and mitigating privacy risks during the development of consumer-facing AI products. I also study how AI systems shape people’s cognitive abilities such as attention and critical thinking. My study of generative AI and critical thinking in knowledge work (CHI 2025) is the most-downloaded paper in CHI’s history, with over 120k downloads; I build interactive systems 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, AI Governance, and Human-Computer Interaction 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: Human-Computer Interaction, Usable Privacy & Security, Human-Centered AI

Publications