Patrick W. Harrison serves as Director of AI Engineering at S&P Global, a business and financial intelligence provider, and started the AI Engineering group there. Working in a major company for which data is both the primary raw material and finished product provides an unusually broad, target-rich environment for data scientists and machine learning engineers to make an impact. Outside of S&P, he serves as adjunct faculty at the Darden School of Business, where he co-teaches the course Data Science in Business. He is a founding organizer of the Applied Machine Learning Conference in Charlottesville, Virginia, and is actively involved in building both regional and global data science communities.

Prior to joining S&P Global, Patrick received degrees in Economics (BA) and Systems Engineering (MS), both at the University of Virginia. His graduate research focused on complex systems and agent-based modeling.