Madeleine Cule, Ph.D. - Calico
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Madeleine Cule, Ph.D.
Director, Data Science
Madeleine uses statistical methods to extract useful information from large and complex datasets, with the goal of improving human health.
About
Madeleine uses statistical modeling to better understand the interplay between genetics, environment and age in driving disease risk, using data from large human cohort studies. The ultimate goal is to generate new therapeutic hypotheses for aging related disease.
Before joining Calico, Madeleine was a data scientist at Verily, where she worked on early indicators of disease risk, and statistical measures of healthcare provider quality. Before that, Madeleine worked at Google where she developed statistical methods to understand the effectiveness of online advertising campaigns. She did postdoctoral research in infectious disease epidemiology and bacterial genetics at the University of Oxford.
Education:
Postdoc in Statistics, University of Oxford
Ph.D. in Mathematics, University of Cambridge
MMath, University of Cambridge
B.A. in Mathematics, University of Cambridge
Featured Publications:
Genetic architecture of 11 organ traits derived from abdominal MRI using deep learning
Analysis of MRI-derived spleen iron in the UK Biobank identifies genetic variation linked to iron homeostasis and hemolysis
Calico Publications:
Genetic evidence for distinct biological mechanisms that link adiposity to type 2 diabetes: toward precision medicine.
Plasma proteomic associations with genetics and health in the UK Biobank
Calcification of the abdominal aorta is an under-appreciated cardiovascular disease risk factor in the general population
See Other Senior R&D Staff Profiles
Sandip Chatterjee, Ph.D.
Director, Software Engineering
William Cho, M.D., Ph.D.
Head of Clinical Science
Brian Feng, Ph.D
Director, Cellular Phenotyping
Ari Firestone, Ph.D.
Principal Investigator
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