Stanford University
Showing 1,131-1,140 of 2,412 Results
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Jennifer Lee
Professor of Medicine (Endocrinology) and, by courtesy, of Epidemiology and Population Health
Current Research and Scholarly InterestsI am a healthcare lead and physician scientist for innovation, R&D, and advanced analytics, and oversee these aspects at VA Palo Alto/VHA, within Stanford-VA relationship. The VA has the US's largest health care system and longest running EHR. I prioritize enabling multiple partners (industry, government, academia, foundations), to innovate/R&D in the VA health care system. We prioritize mentoring students from various Schools to become future leaders in R&D, innovation, and healthcare.
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Julie Jung Hyun Lee
Clinical Assistant Professor, Medicine - Primary Care and Population Health
BioDr. Julie J. Lee is a board-certified physician in Internal Medicine, Obesity Medicine, and Clinical Informatics at Stanford, where she works at the intersection of technology, precision health, and real-world clinical care.
As Health Equity Informaticist in Stanford's Division of Primary Care and Population Health, she leads data-informed strategies to evaluate and integrate digital health tools into clinical environments. Her work spans AI in healthcare, remote patient monitoring, patient portal communication, and clinical decision support, with a focus on ensuring these tools are clinically grounded, operationally feasible, and built around how patients and clinicians actually work. She advises industry and innovators on what it takes to move from promising technology to real-world impact.
Her clinical practice centers on obesity medicine and cardiometabolic health, where she applies precision health approaches to challenge one-size-fits-all frameworks. She advocates for moving beyond outdated BMI-driven care toward more meaningful measures like body composition, and for building evidence that reflects the full diversity of patients, including Asian and Native Hawaiian and Pacific Islander communities.
Health equity and ethics shape how she approaches her work across research, clinical practice, and technology evaluation. As a clinician who speaks both the language of medicine and the language of technology, she brings a critical perspective to what AI can do, what it should do, and who it should serve.
