Qijia Ye Awarded 2026 Penn AI Fellowship
Ye studies health messaging, including how AI can be used to develop effective, reliable, and equitable methods for communication research.
Penn AI has announced that Qijia Ye, a doctoral candidate at the Annenberg School for Communication at the University of Pennsylvania, is an awardee of its Penn AI Fellows program.
Ye's research explores message effects in health communication, particularly the role of emotions in persuasion. He investigates methods for translating knowledge into effective health interventions and examines how AI, especially large language models, can be used to develop reliable, equitable, and effective communication research methods.
The Penn AI Fellowship supports Penn's advanced graduate students and postdoctoral fellows across disciplines whose research engages with artificial intelligence and data science. Managed in partnership with the Data Driven Discovery Initiative at Penn, the fellowship recruits rising talent with expertise in AI in order to bridge disciplines and foster new collaborations.
Fellows receive faculty mentoring, dedicated funds for research and travel, and access to a weekly postdoc lunch and seminar series that fosters learning, networking, and collaboration. During the fellowship, Ye will continue his research with Annenberg’s Health Communication & Equity Lab, which employs communication science to achieve health equity for all.