Richard Correro is a technical program manager at the Stanford University School of Medicine. His work is focused on developing machine-learning models and deploying them efficiently at scale for use with massive geospatial datasets. He works in collaboration with an interdisciplinary team of researchers at Stanford centered on the Stanford Human Trafficking Data Lab. He has contributed to many open-source geospatial software projects and is committed to the cause of democratizing geospatial intelligence. Richard holds both an MS in Statistics and a BS in Mathematical and Computational Science from Stanford University.