Jonathan Bloom, Ph.D.
Jon Bloom is a mathematician, engineer, and institute scientist at the Broad Institute of MIT and Harvard. He co-founded the Hail team, led by institute scientist Cotton Seed and embedded in the Neale Lab, to empower the worldwide genetics community to harness the flood of sequenced genomes in order to discover the biology of disease. Bloom and Seed recently formed the Initiative in Scalable Analytics in order to grow the open-source Hail project (hail.is) within and beyond genetics and reduce the latency of computational experiments in biomedical research. With institute scientist Alex Bloemendal, Bloom co-founded and directs the Models, Inference & Algorithms Initiative (broadinstitute.org/mia) to foster community and pedagogy in greater Boston at the interface of computational biology, mathematical theory, and machine learning.
Prior to joining Broad and MGH in 2015, Bloom did theoretical research in geometry and algebraic topology as a Moore Instructor and NSF Postdoctoral Fellow in Mathematics at the Massachusetts Institute of Technology. While there, he re-architected 18.05: Introduction to Probability and Statistics, now among the most popular offerings on MIT OpenCourseWare. Bloom received his Ph.D. from Columbia University and B.A. from Harvard University in Mathematics.