Stanford University
Showing 7,481-7,500 of 37,131 Results
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Laura T Derry
Clinical Assistant Professor, Medicine
BioDr. Laura (Trollinger) Derry is a Clinical Assistant Professor of Medicine and hospitalist specializing in the care of complex medical and surgical patients. She completed her medical training at the University of North Carolina (UNC) School of Medicine and Internal Medicine residency at the University of California, San Francisco (UCSF), where she was part of the Health Systems Leadership (HSL) Pathway. She also holds an MBA from Duke University’s Fuqua School of Business, specializing in health sector management and leadership.
Beyond clinical care, Dr. Derry conducts research at the intersection of artificial intelligence and medicine, exploring how large language models and machine learning can enhance physician decision-making, disease diagnosis, and healthcare delivery. She received one of the inaugural SMART-HM grants through the Stanford Division of Hospital Medicine to support her research.
Dr. Derry seves serves as the Co-Director of Hospital Medicine Labs for Clinical Operations whose mission is to transform inpatient care delivery through the rigorous design, pilot-testing, and scaling of operational innovations. She is actively involved in quality improvement initiatives within the Division of Hospital Medicine and member of the Orthopedics Quality Council. She is a graduate of Stanford Medicine's Realizing Improvement through Team Empowerment (RITE) program and now serves as a Cohort Director. She also serves as a faculty advisor and instructor for the Stanford Healthcare Consulting Group (SHCG), mentoring students in healthcare strategy, operations, and quality improvement.
Before her medical career, Dr. Derry worked as a strategy consultant, applying data-driven insights to optimize clinical operations and care delivery. Her expertise in clinical operations, quality improvement, and digital strategy continues to shape her work at Stanford and beyond. -
Atman Desai, MD
Clinical Professor, Neurosurgery
Current Research and Scholarly InterestsThe Stanford Spine Artificial Intelligence Laboratory develops data-driven technologies to improve diagnosis, surgical planning, and outcomes in spine care. Our research spans predictive modeling, computational imaging, spinal oncology, digital surgery, and real-world functional assessment using wearables. By integrating clinical, imaging, and functional data at scale, we aim to deliver clinically meaningful, patient-centered innovations for complex spinal disease.
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Dimpi Desai, MD
Clinical Associate Professor, Medicine - Endocrinology, Gerontology, & Metabolism
BioDr. Dimpi Desai, MD is a Clinical Associate Professor at Stanford University. She did her residency in Internal Medicine from Jacobi Medical Center/Albert Einstein College of Medicine in New York and completed her fellowship in Endocrinology at the University of Pennsylvania.
Her main clinical focus includes diabetes and obesity and preventing their long-term complications. She strongly believes in patient education and involving them in the medical decision-making process. In addition to being a clinician, she is committed to and involved in the medical education of trainees at all levels including medical students, residents and fellows. She is triple board certified in internal medicine, endocrinology and Obesity. She is involved in several national endocrinology and obesity societies in leadership roles and currently serves as a member on the guideline panel for Endocrine Society's pharmacological management of Obesity. -
Gauri Desai
Postdoctoral Scholar, Bioengineering
BioDr. Gauri Desai is a Postdoctoral Research Associate with the Female Athlete Science and Translational Research Program (FASTR). She is a biomechanist, with a research focus on female-specific biomechanical risk factors for sport-related injuries. She integrates biomechanics principles with physiology to provide an all-round perspective on improving performance and mitigating injury risk in female athletes. Dr. Desai's research complements human subject experiments with insights from computer modeling and simulation, to answer research questions that are challenging to address via human subject research studies alone. Beyond research, she is an active contributor to the sports science community through mentorship and advocacy for women in sport.
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Kaniksha Desai
Clinical Professor, Medicine - Endocrinology, Gerontology, & Metabolism
BioDr. Kaniksha Desai is a board-certified endocrinologist and clinical professor at Stanford University. She completed her endocrinology fellowship at the Mayo Clinic, with an emphasis on the management of patients with thyroid cancer. Dr. Desai’s clinical practice focuses on the management of patients with thyroid nodules and thyroid cancer. She also maintains board certification in neck ultrasonography.
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Manisha Desai (She/Her/Hers)
Kim and Ping Li Professor, Professor (Research) of Medicine (Computational Medicine - QSU), of Biomedical Data Science and, by courtesy, of Epidemiology and Population Health
Current Research and Scholarly InterestsDr. Desai is the Director of the Quantitative Sciences Unit. She is interested in the application of biostatistical methods to all areas of medicine including oncology, nephrology, and endocrinology. She works on methods for the analysis of epidemiologic studies, clinical trials, and studies with missing observations.
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Priyamvada(Priya) Desai
Rsch Technical Mgr 1, Technology & Digital Solutions
Current Role at StanfordManager, Biomedical Informatics R &D
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Tushar Desai
Professor of Medicine (Pulmonary, Allergy and Critical Care Medicine)
Current Research and Scholarly InterestsBasic and translational research in lung stem cell biology, cancer, pulmonary fibrosis, COPD, and acute lung injury/ARDS. Upper airway stem cell CRISPR gene correction followed by autologous stem cell transplantation to treat Cystic fibrosis. Using lung organoids and precision cut lung slice cultures of mouse and human lungs to study molecular regulation of lung stem cells. Using transgenic mice to visualize Wnt protein transmission from niche cell to stem cell in vivo.
