Danny Sallis is a Research Fellow at the RegLab. He holds a B.S. in Computer Science and M.S. in Computational and Mathematical Engineering from Stanford University. As a student, he performed research in water resource systems analysis as well as scientific machine learning for climate modeling applications. His work at the RegLab is focused on computer vision for environmental regulation and NLP for clarifying the law.