Giovanni Parmigiani

Giovanni Parmigiani is an Italian statistician, academic, and author. He is a Professor in the Department of Data Science at the Dana Farber Cancer Institute and the department of Biostatistics at the Harvard T.H. Chan School of Public Health.

Parmigiani's research has contributed to a deeper understanding of inherited cancer risks, utilizing Bayesian modeling and machine learning to predict genetic susceptibility and integrate data on mutation effects. His scholarly work includes publications in journals such as Science, Journal of Clinical Oncology, and Clinical Infectious Diseases, as well as authorship of books, including Modeling in Medical Decision Making and Decision Theory: Principles and Approaches, for which he and co-author Lurdes Inoue received the DeGroot Prize. He also edited the volume The Analysis of Gene Expression Data: Methods and Software.

Parmigiani was named an Elected Fellow of the American Association for the Advancement of Science and a Fellow of the American Statistical Association. Among his other roles, he serves as a member of the Statistical Board of Reviewing Editors at Science. He also co-led BayesMendel, a software for developing statistical and machine learning models for cancer susceptibility genes, which include tools such as BRCAPRO, PANCPRO, MelaPRO, PancPRO, and co-led the development of its successor, Fam3PRO.