Professor Ioannis P.A. Ioannidis is a distinguished Greek-American physician-scientist, writer, and the C.F. Rehnborg Chair in Disease Prevention at Stanford University. He serves as Professor of Medicine, Professor of Epidemiology and Population Health, and (by courtesy) Professor of Biomedical Data Science at Stanford University School of Medicine, as well as Professor of Statistics at Stanford University School of Humanities and Sciences. He is also the co-Director of the Meta-Research Innovation Center at Stanford (METRICS). Professor Ioannidis is renowned for his groundbreaking work in meta-research, critically examining the credibility of medical research findings, and for his highly influential 2005 paper 'Why Most Published Research Findings Are False.' His research spans evidence-based medicine, clinical epidemiology, data science, and health policy, with a consistent focus on improving research practices, reproducibility, and reducing bias in scientific investigation. He is one of the most-cited scientists globally, with his work having a profound impact on how research is conducted, reported, and interpreted across various disciplines.
Ioannis Ioannidis's work history includes a series of influential roles in various companies. Here is a detailed list of his professional journey:
Authored the seminal and highly influential 2005 paper published in PLoS Medicine, which became the most-accessed article in the history of the Public Library of Science, fundamentally challenging and reshaping discussions on research methodology, bias, and reproducibility.
Consistently ranked among the world's most-cited scientists across all scientific fields. His extensive body of work has garnered hundreds of thousands of citations, indicating its significant impact and influence in the global scientific community.
Leads efforts at METRICS to study and improve research practices, aiming to enhance the quality, efficiency, and reproducibility of scientific investigation through rigorous methodological research and advocacy for best practices.
Recognized with multiple international awards for his contributions to science, medicine, and research integrity, including the Chanchlani Global Health Research Award, the Einstein BIH Visiting Fellow Award, and the John Dirks Canada Gairdner Global Health Award (2022).
Widely regarded as a leading figure and pioneer in the field of meta-research (research on research), developing methods and frameworks to evaluate and improve the scientific process itself.
EU Business School - Year 2012
EU Business School - Year 2006
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