Stanford University
Showing 131-140 of 260 Results
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Alexander Ioannidis
Affiliate, Biomedical Data Science
Adjunct Professor, Institute for Computational and Mathematical Engineering (ICME)BioDr. Alexander Ioannidis is an Adjunct Professor in Computational and Mathematical Engineering, where he teaches machine learning and data science, and is a researcher in the Department of Biomedical Data Science at Stanford Medical School. He earned his Ph.D. from Stanford University in Computational and Mathematical Engineering together with an M.S. in Management Science and Engineering (Optimization). He graduated summa cum laude from Harvard University in Chemistry and Physics and earned an M.Phil at the University of Cambridge from the Department of Applied Math and Theoretical Physics in Computational Biology. His research focuses on the design of algorithms and application of computational methods for problems in genomics, clinical data science, and precision health with a particular focus on underrepresented populations in Oceania and Latin America.
*For John Ioannidis (no relation), see here, https://profiles.stanford.edu/john-ioannidis -
John P.A. Ioannidis
Professor of Medicine (Stanford Prevention Research), of Epidemiology and Population Health and by courtesy of Biomedical Data Science
Current Research and Scholarly InterestsMeta-research
Evidence-based medicine
Clinical and molecular epidemiology
Human genome epidemiology
Research design
Reporting of research
Empirical evaluation of bias in research
Randomized trials
Statistical methods and modeling
Meta-analysis and large-scale evidence
Prognosis, predictive, personalized, precision medicine and health
Sociology of science -
Eric Ip
Clinical Professor, Medicine - Primary Care and Population Health
Current Research and Scholarly InterestsMy research interests include the use and abuse of anabolic steroids and other performance enhancing/cognitive enhancing drugs.
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Wui Ip, MD
Clinical Assistant Professor, Pediatrics
BioWui Ip, MD is a pediatrician and physician informaticist. He is interested in applying machine learning to support clinical decision making and improve patient care.