Gabriel is a senior data scientist and statistician specializing in healthcare LLM innovation. He architects frameworks to prioritize data integrity and fact-checkability by anchoring generations to verified sources. Expert in Python, R, and SAS, Gabriel’s experience includes experimental design, regulatory compliance, and legacy code migration, combining statistical rigor with cutting-edge AI to deliver scalable life sciences solutions.