School of Medicine
Showing 1-5 of 5 Results
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Daniel Katz
Assistant Professor of Medicine (Computational Medicine)
BioDaniel Katz is an Assistant Professor of Medicine in the Stanford Center for Biomedical Informatics Research (BMIR) and the Cardiovascular Medicine Divisions. He practices as an Advanced Heart Failure and Transplant Cardiologist. He completed internal medicine residency at Massachusetts General Hospital, general cardiology training at Beth Israel Deaconess Medical Center, and then joined Stanford in 2021 for his advanced heart failure training. His research focuses on identifying the various pathophysiologic patterns and mechanisms that lead to the heterogeneous syndrome of heart failure. His efforts leverage high dimensional data in many forms including clinical phenotypes, plasma proteomics, metabolomics, and genetics. He is presently engaged in analysis of multi-omic data from the Molecular Transducers of Physical Activity Consortium (MoTrPAC) and the NHLBI Trans-Omics for Precision Medicine (TOPMed) Program. His clinical interests include advanced heart failure, transplant cardiology, and mechanical circulatory support.
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Christian Kindermann
Research Engineer, Computational Medicine
Current Role at StanfordI am a research engineer specializing in semantic technologies (ontologies and knowledge graphs). My work focuses on helping life-science practitioners and researchers manage their data.
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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 -
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.
