Wu Tsai Human Performance Alliance
Showing 261-270 of 358 Results
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Thomas Robinson
The Irving Schulman, M.D. Professor of Child Health, Professor of Medicine (Stanford Prevention Research Center) and, by courtesy, of Epidemiology and Population Health
Current Research and Scholarly InterestsDr. Robinson originated the solution-oriented research paradigm and directs the Stanford Solutions Science Lab. He is known for his pioneering obesity prevention and treatment research, including the concept of stealth interventions. His research applies social cognitive models of behavior change to behavioral, social, environmental and policy interventions for children and families in real world settings, making the results relevant for informing clinical and public health practice and policy.
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William H. Robinson, MD PhD
James W. Raitt, M.D. Professor
Current Research and Scholarly InterestsOur lab investigates the molecular mechanisms of and develops therapies to treat autoimmune and rheumatic diseases, with a focus on rheumatoid arthritis, systemic lupus erythematosus, multiple sclerosis, and osteoarthritis.
The overriding objectives of our laboratory are:
1. To elucidate the mechanisms underlying autoimmune and rheumatic diseases.
2. To investigate the role of innate immune inflammation in osteoarthritis.
3. To develop novel diagnostics and therapeutics -
Fatima Rodriguez
Associate Professor of Medicine (Cardiovascular Medicine)
BioFatima Rodriguez, MD, MPH serves as the Vice Chair of Clinical Research (Department of Medicine), Section Chief of Preventive Cardiology, and Associate Director of the Center for Digital Health at Stanford University. She received her medical degree from Harvard Medical School and a Master of Public Health from the Harvard T.H. Chan School of Public Health. Dr. Rodriguez completed her internal medicine residency at Brigham and Women’s Hospital and fellowship in cardiovascular medicine at Stanford.
Dr. Rodriguez specializes in the prevention and management of cardiovascular disease, with clinical expertise in coronary artery disease and inherited lipid disorders. Her research focuses on cardiovascular disease prevention and health promotion, leveraging digital tools to improve guideline-based care, and using AI-enabled approaches for early detection of atherosclerosis. -
Eugene Y. Roh, MD
Clinical Associate Professor, Orthopaedic Surgery
Current Research and Scholarly InterestsTherapeutic Efficacy of biologic treatments(Platelet Rich Plasma, adipose, mfat, bone marrow, stem cell) in OA and tendonitis
Application of musculoskeletal ultrasound for sports medicine and other musculoskeletal disease.
AI-based musculoskeletal diagnosis and treatment in sports, OA and tendinitis -
Christian Rose, MD
Assistant Professor of Emergency Medicine (Adult Clinical/Academic)
Current Research and Scholarly InterestsUncertainty permeates the practice of emergency medicine. I want to answer the question: what do you do when you don't know what to do?
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Brian Rutt
Professor of Radiology (Radiological Sciences Lab), Emeritus
Current Research and Scholarly InterestsMy research interests center on MRI research, including high-field and high-resolution MRI technology development as well as applications of advanced MRI techniques to studying the brain, cardiovascular system and cancer.
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Marc R. Safran, MD
Professor of Orthopaedic Surgery
Current Research and Scholarly InterestsDr. Safrans practice focuses on arthroscopic management of hip problems as well as articular cartilage regeneration, shoulder surgery and athletic shoulder and elbow problems. He is actively involved in research in these areas.
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Manish Saggar
Associate Professor (Research) of Psychiatry and Behavioral Sciences (Interdisciplinary Brain Science Research)
Current Research and Scholarly InterestsWe are a computational neuropsychiatry lab dedicated to developing computational methods to better understand brain’s overall dynamical organization in healthy and patient populations. We employ algorithms from a wide range of fields, including Applied Mathematics, Econometrics, Machine Learning, Biophysics, and Network Science.
