Medicine
Showing 681-700 of 802 Results
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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, Division of Computational Medicine
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
Clinical Research Coordinator II, 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 HealthBioStefan Thottunkal is a physician in training, Stanford researcher, and policymaker whose work sits at the intersection of artificial intelligence, precision medicine, translational science, and public health innovation. He completed the M.S. in Community Health and Prevention Research at Stanford University as an IIE Quad Fellow, one of the world’s most selective international research fellowships, where his thesis centered on computational pharmacogenomics and the use of data-driven LLM methods to advance precision prescribing.
His research focuses on translating innovation into clinically meaningful and implementation-ready health solutions, with particular interests in pharmacogenomics, chronic disease, and AI-enabled decision support. He is especially interested in how machine learning and large language models can be used not simply as technical advances, but as robust clinical tools that improve prescribing, strengthen care delivery, and incorporate human centered design principles to effectively integrate precision medicine in routine clinical practice.
At Stanford, he contributes to the Han Lab’s research on advancing precision oncology in advanced non-small cell lung cancer, while helping lead NOURISH, a pioneering Stanford Medicine initiative reimagining cardiometabolic care through culturally tailored nutrition science, behavioral insight, and digital innovation. NOURISH advances a model of lifestyle medicine that preserves cultural relevance while applying rigorous scientific methods to improve metabolic health. By integrating culinary medicine with emerging technologies, the initiative is exploring how AI-enabled tools, personalized digital education, and interactive nutrition support systems can make evidence-based dietary guidance more adaptive, engaging, and scalable across diverse populations. His work in this space reflects a broader interest in how technology can help transform nutrition care from generic advice into a more personalized, culturally tailored, and behaviorally attuned form of preventive medicine.
In parallel with his research career, Stefan brings close to half a decade of experience advising the Australian Federal Government on major health and social policy initiatives. His international experience also includes mentoring hackathon teams in India and medical device development in Nigeria, where he contributed to dialysis device innovation and clinical trials design in resource-constrained settings. Together, these experiences reflect his broader commitment to advancing equitable, evidence-based, and culturally tailored global health innovation.
