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Sam is a Research Associate in the Department of Public Health & Primary Care and a Visiting Postdoctoral Fellow at the European Bioinformatics Institute. His research focuses on Polygenic [Risk] Scores, a recently developed method to predict individuals’ risk of developing different diseases based on their genetics. Currently, he studies how to properly catalog and evaluate the predictive ability and utility of predictions made using polygenic scores, as these predictions show promise for improving preventative medicine and public health by targeting preventative treatments or earlier screening to those at highest risk.
Before Cambridge Sam completed his PhD in Molecular Genetics at the University of Toronto. His doctoral research focused on the biology of transcription factors (TFs) – developing computational methods to measure and understand the diversity of sequences TFs recognize within and between species, and how this relates to the evolution of gene regulation.