Assistant Professor, Maternal-Fetal Medicine
Cedars-Sinai Health Sciences University
Dr. Melissa Wong is the Director of Informatics and AI Strategies and an Assistant Professor of Maternal–Fetal Medicine at Cedars-Sinai Medical Center. Her work focuses on designing and deploying artificial intelligence and clinical informatics tools that improve maternal outcomes, reduce disparities, and strengthen real-world clinical decision making. She serves as Vice Chair of the SMFM Clinical Informatics Committee and previously served on the SMFM Diversity and Inclusion Committee. She is also an inaugural member of Cedars-Sinai’s AI Physician Advisory Council, helping guide system-level strategy for safe and equitable AI integration.
Dr. Wong’s research spans multiple domains of obstetric innovation, including virtual reality for labor pain management, natural language processing and generative AI to advance equity in preeclampsia risk reduction, and investigating the role of bias mitigation in obstetric algorithms. She is currently supported by the Society for Maternal-Fetal Medicine/AAOGF Career Development Award to develop and validate the Partometer, a machine learning based labor prediction system.
She has received multiple teaching awards, including induction into the Gold Humanism Honor Society, and has been an invited speaker at the National Academy of Medicine and Google Research.