Stanford University
Showing 17,661-17,670 of 34,978 Results
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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 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 care and related psychological contexts.
Dr. Lin studies how AI systems should be assessed when they interact with patients, clinicians, or psychologically vulnerable users. His work addresses the limitations of benchmark-driven evaluation and the need for clinically meaningful approaches to AI evaluation that incorporate psychiatric expertise, real-world clinical complexity, and post-deployment risk. His broader interests include psychopathology, personality assessment, psychoanalytic and psychodynamic models of mind, and the translation of complex clinical judgment into rigorous evaluation frameworks for emerging technologies.
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, with research at Harvard Medical School/McLean Hospital on computational and digital approaches to psychiatric phenotyping. He is board certified in psychiatry and clinical informatics. His clinical and teaching work in addiction psychiatry grounds his interest in psychiatric complexity, risk assessment, care navigation, and pragmatic 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.
