School of Medicine
Showing 61-80 of 82 Results
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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.
