Jeffrey Blume

Jeffrey Blume is a tenured Professor of Data Science and Associate Dean for Academic and Faculty Affairs at the University of Virginia's School of Data Science. He previously held leadership roles at Vanderbilt University, including Director of Graduate Education at the Data Science Institute and Vice-Chair of Education in the Department of Biostatistics, with secondary appointments in Biomedical Informatics and Biochemistry.

• Ph.D. in Biostatistics, Johns Hopkins University
• B.A. in Statistics, State University of New York at Buffalo

His research centers on the philosophical and methodological foundations of statistical inference, with a focus on likelihood-based approaches and evidential reasoning. He has made significant contributions to the development of second-generation p-values and empirical Bayes methods, particularly in biomedical contexts such as cancer diagnostics, nephrology, and neuroimaging. His work integrates rigorous statistical theory with practical applications in radiology, women’s health, and translational medicine.

Though specific publications are not listed in the provided text, his research portfolio indicates a strong emphasis on methodological innovation in data science and biostatistics, particularly in areas involving prediction modeling, mediation analysis, ROC analysis, and sequential trial design. These works span both theoretical advancements and real-world applications in clinical and biomedical research.

While no scientific awards are explicitly mentioned, his leadership in founding graduate programs in data science and public health underscores his national impact in academic education and program development.

Blume has advised numerous graduate students and led major educational initiatives, though specific advisees are not listed. He has secured significant academic grants through his leadership roles and research programs, particularly in data science education and biomedical methodology development. As Associate Dean, he oversees academic and faculty affairs, shaping the strategic direction of the School of Data Science.

He is affiliated with the PRISM Lab at the University of Virginia, where his team conducts research on statistical evidence and inference. His website, statisticalevidence.com, serves as a hub for his scholarly work on evidential approaches to data analysis.