I am a Ph.D. Candidate in Information Systems at the Questrom School of Business, Boston University. My research employs randomized field experiments, lab experiments, and quasi-experimental methods to study how patients and healthcare professionals respond to generative AI across three contexts: patient adoption of AI-enabled mental health care, physician responses to patient-provided AI diagnoses, and patient responses to AI recommendations delivered through hospital AI gateways.

I am fortunate to be co-advised by Professors Gordon Burtch and Bin Gu.

Featured Papers

Balancing Interpersonal and Informational Privacy Concerns in AI Mental Health
Dominique Hanssens Best PhD Paper Award at AI in Management (AIM) Conference

Physician Responses to Patient-Provided AI Diagnoses: A Field Experiment
Best Paper Award at Conference on Health IT and Analytics (CHITA)

Other Publications

The Consequences of Generative AI for Online Knowledge Communities

Social Media Meets FinTech Platforms: How Do Online Emotions Support Credit Risk Decision-Making?

Generative AI Degrades Online Communities

Upcoming Talks and Events

INFORMS ISS Doctoral Consortium, San Francisco, October 30, 2026

INFORMS 2026, San Francisco, November 1–4, 2026

ICIS Doctoral Consortium, Lisbon, December 9–12, 2026

ICIS 2026, Lisbon, December 13–16, 2026

WISE 2026, Lisbon, December 16–18, 2026