Human-centered AI agency

I help people see, understand, and correct misalignments in AI privacy and security.

I received my Ph.D. in Computer Science and Engineering from the University of Notre Dame in 2026, advised by Dr. Toby Jia-Jun Li and Dr. Fanny Yanfang Ye. Before Notre Dame, I received an M.S. in Educational Technology and Applied Learning Sciences from Carnegie Mellon University and a B.Eng. in Industrial Design from Tongji University. My research restores user agency across the full arc of awareness, knowledge, and behavior in AI privacy and security, aligning system behavior with human expectations and reasoning.

Research Overview
01

Contextual scaffolds

Supporting preference-aligned decisions in LLM workflows

I design interaction scaffolds that surface privacy- and security-relevant signals at the right moment, in the right context, and in forms that match users’ immediate goals and mental models.

02

Experiential auditing

Turning privacy hypotheses into observable evidence

I build empathy-based and persona-based sandboxes that let people test how personal information changes AI-powered systems, transforming opaque inferences into concrete, inspectable outcomes.

03

Human-centered AI agency

Connecting governance, oversight, and model behavior

My future work develops feedback loops across institutional governance, cognitively calibrated oversight interfaces, and model alignment so users can contest and correct unsafe AI behavior.

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Publications

* indicates equal contribution.