Summary
Bryan Ostdiek is a Principal Data Scientist at Microsoft with 11 years of experience applying physics-rooted rigour to machine learning, data analysis, and visualization. He leverages a PhD in Physics to build practical ML solutions—ranging from deep learning models that reduce reliance on simulation parameters to anomaly detection and privacy-preserving data anonymization—for Microsoft's largest customers. Bryan's background in dark-matter research informs a careful approach to signal extraction and uncertainty, helping translate complex experimental techniques into production-ready AI systems. A skilled communicator, he routinely presents technical insights to both specialist and general audiences and is adept at bridging research methods with business impact. Based in Watertown, MA, he blends academic depth with enterprise delivery, often surfacing subtle data biases before they affect production.
11 years of coding experience
BS, Physics and Education, BS, Physics and Education at Montana State University-Bozeman
Doctor of Philosophy (Ph.D.), Physics, Doctor of Philosophy (Ph.D.), Physics at University of Notre Dame