Panpan Tang

Papers

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About

Dr. Panpan Tang is a leading researcher at the intersection of artificial intelligence, mental health technology, and data privacy. Her work focuses on developing secure, trustworthy AI systems for sensitive healthcare applications, with a particular emphasis on confidential computing and privacy-preserving frameworks. Her most cited paper, "A Privacy-Privacy-Preserving Framework for Mental Health Chatbots Based on Confidential Computing" (2022, 9 citations), addresses a critical challenge in digital health: how to deliver accurate psychological counseling through chatbots without compromising patient confidentiality. By integrating confidential computing techniques, Dr. Tang enables mental health chatbots to provide real-time, location-independent support—reducing the workload on psychologists while ensuring that sensitive patient data remains protected. This work has significant implications for expanding access to mental healthcare, particularly for underserved populations. Her contributions bridge the gap between advanced AI capabilities and the stringent privacy requirements of clinical settings, earning recognition for its practical impact. Dr. Tang continues to pioneer research that makes AI-driven mental health interventions both effective and ethically sound, positioning her as a key voice in the responsible deployment of conversational AI in medicine.