School of Medicine
Showing 81-90 of 338 Results
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Jennifer Y Lee, MD
Clinical Associate Professor, Otolaryngology (Head and Neck Surgery)
Current Research and Scholarly InterestsDevelopment of treatment outcomes of Eustachian tube balloon dilation
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Jin Hyung Lee
Associate Professor of Neurology and Neurological Sciences (Neurology Research), of Neurosurgery and of Bioengineering and, by courtesy, of Electrical Engineering
Current Research and Scholarly InterestsIn vivo visualization and control of neural circuits
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Jinwoo Lee, MD, PhD, FAAD
Instructor, Dermatology
BioJinwoo Lee, M.D., Ph.D. is a board-certified dermatologist and clinical faculty in the Department of Dermatology. Dr. Lee completed his residency in dermatology at Stanford University, where he joined the Investigative Training Track to conduct basic science research in autoimmunity and inflammation. Dr. Lee’s scientific research focuses on identifying the mechanisms underlying the onset and progression of autoimmune diseases. His clinical interests include medical management of complex dermatologic conditions, autoimmune skin diseases, as well as general dermatology.
Dr. Lee is currently only seeing patients on Monday afternoons at the Stanford Medicine Outpatient Center in Redwood City. -
Jon B. Lee, MD
Clinical Assistant Professor, Anesthesiology, Perioperative and Pain Medicine
Clinical Assistant Professor, Emergency MedicineBioDr. Lee is board-ceritfied in emergency medicine, pain medicine, and addiction medicine. He works clinically as pain medicine and emergency medicine specialist at Stanford University.
Dr. Lee offers employs multi-modal medication utilization, injection therapies, radiofrequency ablation, and neuromodulation, to help patients manage their pain and improve their quality of life. Dr. Lee’s academic interests include interventional pain management in acute care settings, ED utilization and management for acute and chronic painful conditions, and transitions of care between inpatient and outpatient settings. He is actively involved in medical education, including programs for national pain conferences, focusing on training acute care providers in evidence-based, opioid-sparing approaches to pain management. -
Jonathan Lee (@ jonlee112)
Clinical Assistant Professor, Psychiatry and Behavioral Sciences
BioClincal:
Dr. Jonathan Lee, MD, PhD (@ jonlee112) is a Clinical Assistant Professor of Psychiatry and Behavioral Sciences at the Depression Clinic of Stanford University where he founded the "Am I Good? Examining life through the lenses of Philosophical Skepticism, Moral Philosophy, and Existentialism" philosophical psychotherapy group.
Jonathan Lee, MD, PhD (@ jonlee112) practices psychiatry, including psychotherapy, at Stanford University. He utilizes psychopharmacology alongside a particular approach to philosophical therapy, which he has termed ‘Decompositionism‘. Decompositionism is an approach to philosophical psychotherapy, developed by Jonathan Lee, MD, PhD (@ jonlee112), which is informed by knowledge from neuroscience, psychology, and philosophy…
Epistemology, Skepticism
Metaphysics, Ontology
Philosophy of Language
Philosophy of Mind
Moral Philosophy, Metaethics
Existentialism
…Decompositionism revolves around the use of analytical approaches aimed at decomposing cognitive concepts (words, phrases, thoughts, ideas, emotions, beliefs, etc) into their most fundamental components or features. Jonathan Lee, MD, PhD (@ jonlee112) designed Decompositionism to examine fundamental questions such as:
What is truth? What is reality? How do we know what we know? How do our brains/minds learn?
What actually exists in the universe?
What do we mean by the words, phrases, and concepts that we invoke in daily life?
What is right vs. wrong? What are our moral obligations?
What is good vs. bad?
What is the meaning of life? What is the point of life? What is the purpose of life?
Does free will exist?
Research:
His research focuses on the causes and consequences of, as well as solutions to, rising skepticism and distrust in sources of expert information (e.g., science, health). He has a special interest in exploring skepticism and persuasion at the intersection of health and politics, which includes studying phenomena such as the politicization of science and health, political polarization, filter bubbles/echo chambers, the emerging post-truth world, and information warfare. It also includes seeking heteorgeneity in the findings across particular demographics at high socioeconomic and health risk. He draws on theories and methods from his uniquely interdisciplinary set of educational, research, and professional experiences, including those from experimental and behavioral economics, political science, psychology, philosophy, and machine learning. He is currently using machine learning-based text analytics to explore how trust/distrust in sources of expert information is discussed on traditional and social media -- followed by the use of online randomized controlled survey experiments to test the causal effects of particular persuasion strategies on perceptions of trust/distrust, as well as other important behavioral outcomes of interest. -
Julie Jung Hyun Lee
Clinical Assistant Professor, Medicine - Primary Care and Population Health
BioDr. Julie J. Lee is a board-certified internal medicine physician, epidemiologist, and clinical informaticist at Stanford University. She works at the forefront of responsible technology and artificial intelligence (AI) integration in healthcare—spanning research, operations, and real-world clinical use. With degrees in Psychology from Columbia University and Epidemiology from Yale University, Dr. Lee brings a unique perspective as an end-user clinician, public health researcher, and systems thinker with deep technical fluency.
At the Stanford Division of Primary Care and Population Health, she serves as Clinical Assistant Professor and Health Equity Informaticist, leading data-informed strategies to close care gaps and implement technology that works in real clinical environments—particularly in primary care settings where systemic challenges around access, coordination, and equity are most visible. Her informatics work encompasses implementation research, governance and operations of clinical decision support (CDS), integration of Prescription Drug Monitoring Programs (PDMPs), deployment of continuous glucose monitors (CGMs) in inpatient settings, and human factors research to improve health IT usability and physician-patient communication.
Dr. Lee’s expertise spans interoperability, EHR physician-builder capabilities, and human-centered design—applying design thinking, data science, and implementation science to drive equitable, clinically grounded innovations. Her focus on clinical feasibility ensures AI tools and digital health interventions are scalable, operationally feasible, and aligned with the real needs of patients and frontline care teams. She advises industry and innovators on designing health technologies that bridge the gap between innovation and implementation.
Health equity is Dr. Lee’s north star, guiding her work in both academic and community settings. Her decade of research spans cardiometabolic health, diabetes, applied AI, and patient safety, with a consistent focus on underserved populations. She has led projects on language and acculturation in Latino communities, translated liver disease research into frontline care in East Los Angeles, and contributed to foundational studies on sex-specific cardiovascular risk factors in women and transgender populations. She is currently focused on advancing precision health for Asian and Native Hawaiian and Pacific Islander (NHPI) communities, particularly in the realm of obesity medicine.
Dr. Lee is widely published in journals such as Diabetes Care, JAMA Network Open, NPJ Digital Medicine, Applied Clinical Informatics, Journal of the American Heart Association, and Menopause. Her informatics philosophy centers on translating research into practice—bringing high-quality evidence directly to clinicians in ways that are actionable, equitable, and embedded into the EHR workflow.
