I am a Ph.D. candidate in the Human-Computer Interaction Institute at Carnegie Mellon University, advised by Sauvik Das and Jodi Forlizzi.
My main 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.
In addition to my work in privacy & security, and human-centered AI, I study and build interactive systems that enhance people’s cognitive abilities, such as attention and critical thinking.
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 (2024) and an Honourable Mention Award (2026) at CHI, and a Distinguished Paper Award (2024) at USENIX. I have been recognized with the CyLab Presidential Fellowship.
During my PhD, I interned with IBM Research (mentored by David Piorkowski), Microsoft Research (mentored by Advait Sarkar), and Brave (mentored by Philipp Winter).
Research Interests: Human-Computer Interaction, Usable Privacy & Security, Human-Centered AIPublications
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CHI'26 Honorable Mention 🏅
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AIES'26
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Preprint
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Preprint
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CHI'25 Most Downloaded Paper in CHI History 🔥
Covered by BBC, Bloomberg, Forbes, TechCrunch, 404 Media, and more. Currently the highest downloaded paper in CHI history on ACM DL (110k+ downloads).
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TOCHI'25
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SEC'24 Distinguished Paper 🏅
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CHI'24 Best Paper 🏅
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CHI'24
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USEC'24
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OzCHI'24
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CACM'23
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Oakland'23
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IJHCS'22
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MobileHCI'21
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CHI'21
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CHI'21
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CHI'21
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CHI'20
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CHI'19