Greg is a Computational Associate in the Karczewski and Neale groups at the Broad Institute. Greg holds a B.Eng in Software Engineering from McGill University and an MS in Operations Research from Northeastern University. He is passionate about applying optimization and classical statistics (and their software implementations thereof) to enhance machine learning methods used to assess biomedical data. Prior to joining Broad, Greg worked as a research associate at a startup specializing in LLM-based document analysis, and in between his undergrad and master’s degrees Greg worked as a Patent Technology Specialist writing patents for software systems and medical devices.