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David Cox Medalists
The David Cox Medal for Statistics commemorates the pioneering statistical work of Sir David Cox in the fields of statistical theory, methodology and applications. Three medals are awarded every three years by the Bernoulli Society in partnership with the American Statistical Association (ASA), the International Biometric Society (IBS), the Institute of Mathematical Statistics (IMS), the International Statistical Institute (ISI), and the Royal Statistical Society (RSS). The winners 2025 are: Professor Richard Samworth, FRS is awarded the David Cox Medal for Statistics for his outstanding contributions to methodological and theoretical statistics. Richard has made numerous seminal contributions including to shape-constrained modelling, high dimensional statistics, change-point analysis and nonparametric classification. These important and broad areas of statistical science encompass the majority of the prevailing topics where statistics has focussed over the past two decades, and Richard has been at the forefront from the outset. In addition to his stellar research contributions, Richard has mentored with distinction many students and young researchers , as well as serving the profession tirelessly through journal editorships and other contributions to multiple statistical societies. Professor Eric Tchetgen Tchetgen Professor Eric Tchetgen Tchetgen is awarded the David Cox Medal for Statistics for his outstanding contributions to the development of pioneering statistical theory and methods that have reshaped our understanding and practice of causal inference. Eric’s noteworthy contributions recognised by this award include the development of Proximal Causal Inference and groundbreaking contributions to instrumental variable methodology, two fundamental analytic frameworks for credible causal inference in the face of intractable confounding. Beyond his groundbreaking works on proximal inference and instrumental variables, Eric has made seminal contributions to multiple other areas, including interference, mediation analysis, missing data, conformal inference, survival analysis, higher order influence functions, and data fusion. Professor Nancy Ruonan Zhang is awarded the David Cox Medal for Statistics for her pioneering contributions to statistical genomics, particularly in cancer and single-cell genomics and their applications in biomedical research. Her work has advanced the analysis of high-dimensional biological data through the development of methods for change-point detection and false positive control, noise reduction in single-cell RNA sequencing, single cell and spatial omic data integration, and cell type deconvolution in bulk tissue analysis. She has also made significant contributions to understanding cancer genome evolution through the development of allele-specific DNA copy number estimation methods that reveal intratumor heterogeneity. Through these contributions, Nancy has demonstrated exceptional leadership in bridging statistical innovation with real-world biomedical challenges, significantly influencing both the statistical and life sciences communities.
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