Julian Hess

Julian Hess is a Principal Computational Biologist at Predicta Biosciences since December 2024. Prior to this role, Julian held various positions at the Broad Institute of MIT and Harvard, including Computational Scientist from January 2014 to December 2024, where significant contributions included developing a deep learning method for error correction in sequencing data and leading advancements in allele-specific somatic copy number calling. Earlier in Julian's career, as a Senior Associate Computational Biologist, important work involved creating a statistical model for somatic mutational processes on a large patient cohort, revealing insights about cancer driver loci. Academic roots were established with a BA in Physics and Mathematics from Williams College, accompanied by experience as a Research Associate and Research Assistant in the Physics Department at the same institution.