Stanford University
Showing 961-970 of 1,496 Results
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Jennifer Williams
Clinical Assistant Professor, Medicine - Pulmonary, Allergy & Critical Care Medicine
BioDr. Williams is a fellowship-trained pulmonologist specializing in pulmonary critical care medicine. She has board certification in pulmonary medicine, critical care medicine, and internal medicine.
She is a clinical assistant professor in the Department of Medicine, Division of Pulmonary, Allergy & Critical Care Medicine at Stanford University School of Medicine.
For each patient, Dr. Williams develops a comprehensive and compassionate care plan. Her goal is to help every individual achieve the best possible lung health and quality of life.
Patient reviews praise the quality of the care she delivers, her thoroughness, and her patient skills.
Dr. Williams has participated in clinical research studies. She has published articles on autoimmune disease involving interstitial lung disease, COPD, and life-threatening pulmonary complications associated with leukemia. She also co-authored an article on the development of guidelines for identifying and managing post-traumatic stress disorder symptoms associated with critical illness.
Her work has appeared in peer-reviewed journals including the American Journal of Respiratory and Critical Care Medicine, Internal Medicine, and elsewhere. She also has written chapters in books on critical care medicine and clinical decision-making.
Dr. Williams speaks English and both written and oral medical Spanish. In her free time, she enjoys soccer and distance running. -
Leanne Williams
Vincent V.C. Woo Professor and Professor of Psychiatry and Behavioral Sciences (Major Laboratories and Clinical Translational Neurosciences Incubator)
Current Research and Scholarly InterestsOur research advances precision mental health by measuring individual brain circuit function to improve treatment selection. Precision Circuit Mapping (PCM) integrates standardized resting-state and task-based imaging with automated, norm-referenced patient-level circuit quantification. We study treatment-relevant circuit differences across pharmacologic, behavioral, neuromodulatory and emerging therapeutics, translating them through explainable, human-centered AI into clinical decision support.
