School of Medicine
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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 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.
