I am an Assistant Professor at University of Texas at Austin Dell Medical School, working in the intersection of Human-Computer Interaction, Social Computing, and Health & Wellbeing. I study how the public and health professionals perceive, evaluate, and act on health information and AI assistance, and what it takes to do so safely and meaningfully.

Health information no longer only comes from clinical encounters. It comes from posts, peers, and search results, and now AI is woven into health work itself: helping a patient interpret a symptom, a clinician draft notes, or a trainee learn to communicate with caregivers. This assistance is produced on demand, but whether it helps or harms is frequently decided out of view. I study the responsible adoption of AI in health, assessing what these systems produce in the settings they enter; how people perceive and trust AI, as what they take a system to be shapes how they use it; and health signals and support in everyday life, where social and everyday data reveals what formal healthcare systems miss and how support happens beyond the encounter. I take a theory-guided approach, combining computational and qualitative methods to map these risks and develop ways to reduce them.

My research has been published at premier venues for human-centered computing, such as CHI, CSCW, and ACL. My papers received a Best Paper Award at CSCW 2025 (top 1%) and a Best Paper Honorable Mention at CHI 2023 (top 4%). I have been honored with the Foley Scholar Award, the highest award for PhD student contributions to computing research at Georgia Tech. I hold a Ph.D. in Human-Centered Computing from Georgia Institute of Technology, where I was fortunate to be advised by Prof. Munmun De Choudhury.