Hao-Ping (Hank) Lee

李浩平

I am a Ph.D. student 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 and Human-Computer Interaction (HCI) venues, including IEEE S&P, USENIX Security, CHI, TOCHI, and the International Journal of Human-Computer Studies (IJHCS). I have received a Best Paper Award at CHI (2024) and a Distinguished Paper Award at USENIX (2024).
During my PhD study, 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 AI

Publications

2025

2024

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2020

2019

Posters & Workshop Papers

(* indicates equal contribution)