Faiz Surani is a Data Scientist at RegLab, where he focuses on applications of machine learning in legal and administrative systems. His work includes developing AI systems for government benefit programs, automating discriminatory covenant detection in property records, and evaluating the reliability of commercial AI tools. Previously, he worked in the software industry, including as a member of Google’s Neural Semantic Parsing team. He holds a B.S. with High Honors in Computing from UC Santa Barbara.