Giovanni Parmigiani

Giovanni Parmigiani

Professor
Department of Biostatistics
Harvard T.H. Chan School of Public Health
Giovanni
Giovanni Parmigiani's research investigates statistical principles and tools, often with a focus on understanding cancer data. For example, he is currently interested in addressing the challenges of cross-study replication of predictions, by constructing predictors that learn replicability from being trained on multiple studies at once. He also has a long term interest in helping families who are particularly susceptible to inherited cancer understand their risk and make informed decisions. He uses Bayesian modeling and machine learning concepts to predict who is at risk of carrying genetic variants, and to integrate literature-based and other information about the effects of mutations. Throughout his research activities, his broad goals are to find innovative ways to use data science and data technologies to fuel cancer prevention and early detection and, methodologically, to increase the rigor end efficiency with which we leverage the vast and complex information generated in today’s cancer research. He strives to foster the use of data sciences as a common thread to facilitate interactions between fields and academic cultures, and has a passion for mentoring and training young(er) scientists in interdisciplinary settings.

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