The AI Summit New York

Previous Speakers

Pei-Yun Sabrina Hsueh

Pei-Yun Sabrina Hsueh

Director of Ethical AI and External Innovation, Pfizer

Pei-Yun Sabrina Hsueh (Ph.D., FAMIA) is the Director of Ethical AI and External Innovation at Pfizer. She has 15 years of experience innovating and operationalizing health AI solutions, public-private partnerships, and innovation strategies in both entrepreneurship settings and multinational organizations. She is a global leader in the industry's best practices of health AI, focusing on establishing a responsible AI governance framework and productizing AI in workflows. She serves on the Practitioners Board of the Association of Computing Machinery (ACM) and as the American Medical Informatics Association (AMIA) AI Evaluation Showcase 2023 Co-Chair. In AMIA, she serves as the incoming co-chair of the Women in AMAI steering committee and a member of the Public Policy Committee, organizing the AMIA-DCI conference on Trustworthy AI and the workgroup of Real-World Data for AI.

 She was also the Vice-Chair of the AMIA SPC 2022, Co-Chair of the KDD Applied Data Science in Healthcare Workshop, and the past chair of the Consumer Health Informatics Work Group.  In her roles, she leads a series of initiatives in AI Evaluation and Governance and real-world evidence strategy with cross-functional teams. Previously at IBM Research, she co-chaired the Health Informatics Professional Community and was elected to serve on the IBM Academy of Technology. Her dedication to patient voices and responsible health AI has won her recognitions, ranging from distinguished paper and invention awards to corporation recognitions of eminence and management contributions. She has hosted special issues on Sensors Journal, Frontiers in Public Health, Journal of Health Informatics Research, and JAMIA OPEN Special Issue on Precision Medicine and AI Evaluation. Sabrina received her PhD in Computer Science from Edinburgh University and her Master's degree from the University of California, Berkeley, focusing on NLP and HCI. Her commitment has led to 20+ patents, 50+ technical articles, and two new textbooks: Machine Learning for Medicine and Healthcare (in prep.) and Personal Health Informatics - Patient Participation in Precision Health (published by Springer Nature in 2023).  


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