Torbet McNeil is a Ph.D. candidate in the Department of Educational Policy Studies and Practice at the University of Arizona (UA). His dissertation is on data science higher education policy and management. His research interests also include ethics and interdisciplinarity. He has an MPA from the University of Colorado Denver School of Public Affairs and a BA in international studies from Emory University. He co-leads the Data Science Community for the Association for Public Policy Analysis & Management. Previously, he was a Graduate Research Assistant for the UA Libraries’ Data Science Specialist. He served as a Data Science Ambassador for the UA College of Education through a program run by the UA’s Data Science Institute. He was awarded a Scholarship for Education Research to participate in the Inter-university Consortium for Political and Social Research (ICPSR) Summer Program in Quantitative Methods of Social Research at the University of Michigan, where he took a course on machine learning.