Stanford University
Showing 551-560 of 939 Results
-
Dana Lin, MD
Clinical Associate Professor, Surgery - General Surgery
BioDr. Lin is a fellowship-trained endocrine surgeon who specializes in surgery of the thyroid, parathyroid, and adrenal glands. After receiving her undergraduate degree from Stanford University, Dr. Lin pursued her medical and surgical training on the east coast, where she completed her residency in general surgery at Rutgers Robert Wood Johnson Medical School and fellowship in endocrine surgery at the Harvard-affiliated Massachusetts General Hospital.
Dr. Lin's clinical practice focuses on the surgical management of benign and malignant thyroid conditions, hyperparathyroidism, adrenal tumors, as well as melanoma and advanced skin cancers. She is skilled in mini-incision, minimally invasive (laparoscopic), and remote access (scarless endoscopic) surgery as well as lymph node dissection for cancer. She currently serves as Director of the Parathyroid Center within the Endocrine Oncology Program at Stanford.
Dr. Lin strives to deliver expert surgical care to patients with utmost humanism and compassion. She considers it a privilege and joy to be entrusted as one’s surgeon and is committed to ensuring the best clinical and cosmetic outcome for each of her patients. Dr. Lin welcomes patients at Stanford Cancer Center in Palo Alto as well as Stanford Health Care in Emeryville and Pleasanton (ValleyCare). -
Eric Lin
Clinical Assistant Professor (Affiliated), Psych/General Psychiatry and Psychology (Adult)
Staff, Psychiatry and Behavioral SciencesBioEric Lin, MD, is a Clinical Assistant Professor (Affiliated) of Psychiatry and Behavioral Sciences at Stanford University School of Medicine and an addiction psychiatrist at VA Palo Alto. His academic work focuses on the intersection of artificial intelligence, large language models, machine learning, and psychiatry, with particular interest in the clinical evaluation, safety, and governance of AI systems used in mental health contexts.
Dr. Lin’s work examines how AI systems should be evaluated when they interact with patients, clinicians, or psychologically vulnerable users. He is especially interested in the limitations of benchmark-driven evaluation, the role of psychiatric expertise in AI safety assessment, and the development of clinically meaningful frameworks for evaluating mental health chatbots, digital therapeutics, AI-enabled clinical tools, and emotionally responsive AI systems. His recent work includes projects on LLM behavior in mental health contexts, clinical AI red-teaming, AI-enabled medical device policy, clinical natural language processing, and computational phenotyping in psychiatry.
His broader intellectual interests include psychopathology, personality assessment, psychoanalytic and psychodynamic models of mind, and the challenge of translating complex clinical judgment into rigorous evaluation frameworks for AI systems. He is particularly interested in how psychiatric concepts such as risk, vulnerability, therapeutic interaction, delusional thinking, emotional dependence, and personality structure can inform the evaluation and governance of AI systems in mental health.
Dr. Lin completed psychiatry residency at Yale University, where he trained in the Neuroscience Research Training Program, and later completed a medical informatics fellowship through VA Boston. In the fellowship, he conducted research at Harvard Medical School/McLean Hospital on computational and digital approaches to psychiatric phenotyping, including clinical natural language processing, machine learning, and biostatistical methods. He is board certified in psychiatry and clinical informatics.
His clinical and teaching work in addiction psychiatry informs his broader interest in psychiatric complexity, risk assessment, care navigation, and real-world implementation of AI tools in health care. He is interested in collaborations across psychiatry, computer science, human-centered AI, health policy, digital mental health, and responsible technology development. -
Feng Vankee Lin
Associate Professor of Psychiatry and Behavioral Sciences (Public Mental Health & Population Sciences)
Current Research and Scholarly InterestsMy career has been devoted to understanding the neural mechanisms involved in brain aging and brain plasticity, with a special focus on early detection and prevention of Alzheimer’s disease (AD). My research approach integrates principles and findings from cognitive theory, clinical neuroscience, and computational neuroscience.
-
Frank Robert Lin
Affiliate, OHNS/Otolaryngology/Head & Neck Surgery
BioFrank R. Lin, MD, PhD is an otologic surgeon and epidemiologist who has translated his experiences caring for adults with hearing loss into public health research and policy. These efforts include establishing the impact of hearing loss and hearing interventions on dementia risk and other health outcomes through the ACHIEVE study, collaborating with and testifying before policy makers to secure federal passage and enactment of the U.S. Over-the-Counter Hearing Aid Act of 2017, and launching the Hearing Number awareness initiative. Lin is a former member of both the Board on Health Sciences Policy and the Forum on Aging, Disability, and Independence at the National Academies. Lin is also a Professor at Johns Hopkins University and on the clinical team at Apple.
