Stanford University
Showing 1,061-1,070 of 2,432 Results
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Abby C. King
David and Susan Heckerman Professor and Professor of Epidemiology & Population Health and of Medicine (Stanford Prevention Research Center)
Current Research and Scholarly InterestsMy interests include applications of behavioral theory and social ecological approaches to achieve large scale changes impacting chronic disease prevention and control; expanding the reach and translation of evidence-based interventions through state-of-the-art technologies; exploring social and physical environmental influences on health; applying community participatory research perspectives to address health disparities; and policy-level approaches to health promotion/disease prevention.
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Teri Klein
Professor (Research) of Biomedical Data Science, of Medicine (Computational Medicine) and, by courtesy, of Genetics
Current Research and Scholarly InterestsCo-founder, Pacific Symposium on Biocomputing
NIEHS, Site Visit Reviewer
NIH, Study Section Reviewer -
Samantha M.R. Kling
Quantitative Research Scientist, Medicine - Primary Care and Population Health
Current Role at StanfordQuantitative Research Scientist in the Evaluation Sciences Unit (ESU)
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Joshua W. Knowles
Associate Professor of Medicine (Cardiovascular Medicine)
Current Research and Scholarly InterestsGenetic basis of coronary disease
Genetic basis of insulin resistance
Familial Hypercholesterolemia (FH) -
Joel Koh
Affiliate, Computational Medicine
BioJoel Koh is the Chief Technology Officer at One X Group, an AI and software company that designs and builds AI systems for businesses. With over a decade of experience at the intersection of technology and business transformation, he works with organizations to translate AI capabilities into practical, business-ready solutions.
Leveraging his technical and strategic background, Joel provides hands-on guidance in areas such as AI strategy development, software implementation, systems design, and technology adoption. His experience across large, complex organizations enables him to offer grounded, execution-focused advice that bridges the gap between emerging technology and real business needs.
He is also a Member of Technical Staff & AI Researcher at Stanford University's ARISE (AI Research and Science Evaluation) lab in San Francisco, California, where he works directly with leading AI labs including OpenAI, Google DeepMind, and Anthropic, contributing to independent research benchmarking frontier AI systems and evaluating their real-world performance against clinical and scientific reasoning standards.
