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Paul Boutros is a renowned data scientist and professor in the departments of Human Genetics and Urology at the David Geffen School of Medicine at UCLA. He earned his BSc in Chemistry from the University of Waterloo in 2004, followed by a PhD in Medical Biophysics from the University of Toronto in 2008. In the same year, he completed an Executive MBA at the Rotman School of Management. Beginning his independent research career as a fellow at the Ontario Institute for Cancer Research from 2008 to 2010, he became a principal investigator from 2010 to 2018 before joining the faculty at UCLA. His research focuses on integrating clinical, molecular, and imaging data to personalize therapy for cancer patients, utilizing modern data science techniques and machine learning to create biomarkers for optimized treatment strategies. He has published over 200 peer-reviewed papers and holds leadership roles within his departments while contributing to the development of novel statistical methodologies. His recent work examines cancer differences based on sex, age, and ethnicity, establishing global standards for cancer genomic data analysis through initiatives like the ICGC-TCGA DREAM Somatic Mutation Calling Challenge.
David Geffen School of Medicine • Los Angeles, CA
Leading research initiatives and programs in cancer genomics and data science.
David Geffen School of Medicine • Los Angeles, CA
Teaching and conducting research in Human Genetics and Urology.