Harrison Siegel

About

Harrison Siegel is a Principal Data Scientist at Microsoft, where he leads work on agentic experimentation workflows and AI-powered platform capabilities within the Experimentation Platform (ExP). He is a compute expert focused on solving company-wide scaling challenges for large-scale experimentation systems. His work centers on building scalable, reliable platforms that automate experiment execution, analysis, and interpretation, while driving systems toward generating clear recommendations and next steps. Harrison is also leading efforts to bring decision intelligence into agentic experimentation, enabling systems to not only run experiments but produce actionable insights. His interests lie at the intersection of AI, developer tooling, and high-scale experimentation.