Planning Committee
AIMI Symposium Co-Chairs
Roxana Daneshjou, MD, PhD
Assistant Professor of Biomedical Data Science and of Dermatology
Dr. Daneshjou studied Bioengineering at Rice University before matriculating to Stanford School of Medicine where she completed her MD and a PhD in Genetics with Dr. Russ Altman as part of the medical scientist training program. She completed dermatology residency at Stanford as part of the research track and completed a postdoc in Biomedical Data Science with Dr. James Zou. She currently is the assistant director of the Center of Excellence for Precision Heath & Pharmacogenomics, director of informatics for the Stanford Skin Innovation and Interventional Research Group (SIIRG), a founding member of the Translational AI in Dermatology (TRAIND) group, and a faculty affiliate of Human-centered Artificial Intelligence (HAI) and the AI in Medicine and Imaging (AIMI) centers.
Ethan Goh, MD, MS
Executive Director, Stanford AI Research and Science Evaluation
Dr. Ethan Goh is a healthcare executive with a background in informatics, technology commercialization, and innovation. At Stanford, he leads multi-center, grant-funded evaluation and implementation of Large Language Model applications within healthcare, with publications in Nature Medicine and JAMA Network. His work has been covered in The New York Times, The Washington Post, and CNN. He is an invited speaker and co-chair at industry conferences—including HIMSS, Stanford AIMI Symposium, and AMIA—and serves as a founding editorial board member at BMJ Digital Health & AI.
As a technology consultant, he has collaborated with Google, OpenAI, Roche, and Samsung to develop, validate, and commercialize AI-driven healthcare solutions. Prior to academia, Dr. Goh practiced Internal Medicine and founded a digital health startup that reached millions of users. He also served in government and advisory roles within the NHS and the Ministry of Health, where he helped shape national health policy and regulatory frameworks. He holds a medical degree from Imperial College London, and a Masters in Clinical Informatics and Management from Stanford University.
AIMI Pediatric Symposium Co-Chairs
Natalie Pageler, MD
Clinical Professor, Peds/Clinical Informatics and Medicine; Chief Medical Information Officer, Stanford Children's Health
Dr. Natalie Pageler is a board-certified pediatric intensivist and board-certified clinical informaticist. She is the Chief Medical Information Officer at Stanford Children's Health and a Clinical Professor of Pediatric Critical Care and Systems Medicine at the Stanford University School of Medicine. Dr. Pageler also holds a masterís degree in medical education, and focused her thesis project on the impact of computerized clinical decision support tools on clinicianís knowledge, behaviors and attitudes. Through her clinical and administrative positions, she has spearheaded the development of innovative computerized clinical decision support tools and co-led Stanford Children's digital health program to enhance quality of care, efficiency, and patient safety. Dr. Pageler also co-founded and serves as Program Director of one of the the first ACGME-accredited fellowships in clinical informatics, located at Stanford University, and is currently Chair of the Community of Clinical Informatics Program Directors.
Keith Morse, MD
Clinical Associate Professor, Pediatrics
Keith Morse, MD, MBA, is a pediatric hospitalist and Medical Director of Clinical Informatics - Enterprise AI at Stanford Medicine. His work in operational and research informatics focuses on meaningful deployment of machine learning in clinical settings. He serves as Stanford's co-site PI for participation in PEDSnet, an 11-site pediatric research consortium. His academic roles include Program Director for Stanford's Clinical Informatics fellowship.