Medicine
Showing 651-700 of 798 Results
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Gaurav Singh
Clinical Assistant Professor (Affiliated), Medicine - Med/Pulmonary, Allergy & Critical Care Medicine
Staff, Medicine - Med/Pulmonary, Allergy & Critical Care MedicineBioDr. Gaurav Singh is a Staff Physician in the Pulmonary, Critical Care, and Sleep Medicine Section at VA Palo Alto Health Care System, where he serves as the pulmonary/critical lead for the virtual integrated services network (VISN). He is also an affiliated Clinical Assistant Professor of the Division of Pulmonary, Allergy, and Critical Care Medicine at Stanford University. He completed his undergraduate studies in molecular and cellular biology at UC Berkeley, where he also completed a Master of Public Health (MPH). He received his medical degree from UC San Francisco. He completed residency training in internal medicine, followed by pulmonary and critical care fellowship as well as sleep medicine fellowship all at Stanford University. Dr. Singh chaired the annual California Thoracic Society (CTS) conference for three years, and he is currently serving on the executive committee. His clinical, research, and academic interests include chronic obstructive airways disease (COPD), chronic respiratory failure, and non-invasive ventilation.
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Aria Small
Stanford-HBMC Program Manager, Med/Program/Bedside Med
Current Role at StanfordProgram Manager, Stanford-REACH-HBMC Research Program
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Crystal Smith
CSI Program Manager, Medicine - Primary Care and Population Health
Current Role at StanfordCrystal serves as Program Manager for the Clinical Summer Internship (CSI). In this role, she oversees multi-modal programming for high school and undergraduate students interested in medicine, coordinates program operations, supports faculty and student engagement, and ensures that all aspects of the program run smoothly from preparation to execution.
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Ankit Srivastava
Temporary Employee, Medicine - Med/Gastroenterology and Hepatology
Current Role at StanfordAs a research scientist, the overarching goal of my research is to elucidate targetable cellular crosstalk between hepatocytes and immune cells in the liver that promotes aging, inflammation, and cancer. To highlight this, I use spatial biology, patient-derived organoids, and disease models of cancer and inflammation.
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Margaret Stedman
Sr Research Engineer, Medicine - Med/Nephrology
Current Role at StanfordSenior Staff Biostatistician
Associate Director of Biostatistics: Transplant
Chair, Kidney Clinical Research Conference
Chair, Transplant Clinical Research Conference -
Georgette A. Stratos, PhD
Casual Employee, Medicine - Primary Care and Population Health
Current Research and Scholarly InterestsDevelopment and evaluation of faculty development programs for medical teachers
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Amy Sturt
Clinical Associate Professor (Affiliated), Medicine - Med/Infectious Diseases
Staff, Medicine - Med/Infectious DiseasesBioAmy Sturt is a physician scientist with an interest in women's global health and the intersection of Neglected Tropical Diseases, sexually transmitted infection and HIV vulnerability. Her work explores diagnostics for genital schistosomiasis and the integration of female self-sampling with the evaluation of reproductive tract infections in Zambian women.
Amy holds a PhD and DTMH from the London School of Hygiene and Tropical Medicine, an MD from Georgetown University, and completed her Infectious Diseases fellowship at Stanford University where she is a Global Health Faculty Fellow. -
Walter Sujansky
Adjunct Professor, Department of Medicine, Center for Biomedical Informatics Research
BioWalter Sujansky, MD PhD is an Adjunct Professor of Biomedical Informatics at the Stanford Center for Biomedical Informatics Research in the Stanford Department of Medicine. Dr. Sujansky co-teaches BMI-210 Modeling Biomedical Systems, where he lectures on a variety of topics, including deep neural networks, probabilistic reasoning, electronic health records, and health data integration and interoperability. He also advises students in the Biomedical Data Science Graduate Program, an interdisciplinary graduate and postdoctoral training program that is part of the Department of Biomedical Data Science. His research interests include the modeling of biomedical concepts based on formal logic and the engineering of features for biomedical machine learning algorithms.
Dr. Sujansky earned an M.D. and a Ph.D. in Medical Informatics from Stanford University, where his doctoral research addressed heterogeneous database integration and clinical decision support. He also earned a B.A. in Economics from Harvard University.
Dr. Sujansky is also the managing consultant at Sujansky & Associates, LLC, a consulting firm that specializes in the representation, management, and analysis of clinical data in information systems. In this capacity, his work focuses on the modeling of complex biomedical data related to patient phenotyping, clinical genomics, quality measurement, automated decision support, and machine learning. His firm has helped to develop shared computing resources such as the California Joint Replacement Registry and the Laboratory Interoperability Data Repository. The firm's clients include the federal and state governments, non-profit organizations, health information system developers, and drug/device manufacturers. Dr. Sujansky also provides forensic analysis of health information technologies for medical malpractice and intellectual property litigation. -
Katherine Sutherland, PA-C
Temporary Employee, Medicine - Med/Blood and Marrow Transplantation
BioKatherine completed her PA degree at Stanford University and worked as a PA in Cutaneous Oncology for 2 years prior to transitioning to Stanford BMT in 2012. Katherine transitioned to part time work in January 2016 and now works on the inpatient service on an as needed basis.
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Grace Tan
Contingent Employee, CV Med - Clinical Trials
Current Role at StanfordClinical Research Coordinator 2 - Cardiovascular Medicine
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Sonoo Thadaney Israni
Executive Director, Presence + Program in Bedside Medicine, Med/Program/Bedside Med
Current Role at StanfordExecutive Director, Presence (med.stanford.edu/presence.html) & Program in Bedside Medicine/Stanford 25 (stanfordmedicine25.stanford.edu)
Instructor Stanford University School of Medicine - Authentic Courage for Constructive Change: Skills and Practice for Leadership
LinkedIn Profile: www.linkedin.com/in/sonoo/ -
Stefan Thottunkal
Other Tech - Graduate, Med/Quantitative Sciences Unit
Graduate Student Employee, Medicine - Primary Care and Population HealthBioMasters Student in Community Health and Prevention Research, admitted Winter 2025
Stefan Thottunkal is an Australian medical student, early career researcher and civil servant. His research interests include chronic disease, Native health, and pharmacogenomics. He is particularly interested in pioneering deployment of innovative technologies in clinical settings, utilizing approaches grounded in implementation science. Stefan received an IIE QUAD Fellowship in 2024 to study a Masters of Community Health and Prevention Research at Stanford.
His current work focuses on precision medicine, advancing implementation of pharmacogenomic testing into clinical practice through leveraging machine learning and large language models to enhance clinical decision-making. He is actively seeking collaboration with those specialised in knowledge-grounded natural language processing and retrieval augmented generation.
Stefan has worked on high impact initiatives conducted in collaboration with the WHO Global Outbreak and Response Network, Royal Australian College of General Practitioners and National Aboriginal Community Controlled Health Organization. He is passionate about bridging the gap between research, policy, and practice to drive meaningful change. -
Alexander Tolas
Clinical Research Coordinator, Medicine - Med/Cardiovascular Medicine
BioMy research focuses on the scalable measurement and validation of cardiorespiratory fitness and physical activity using wearable and mobile technologies. I am particularly interested in integrating physiological assessment, digital phenotyping, and epidemiologic modeling to improve cardiovascular risk stratification across diverse populations. My work spans device validation, predictive modeling, and translation of exercise physiology metrics into clinically meaningful digital health applications.
