David Selby
AVP AI Risk And Governance at LPL Financial
Chandler, Arizona, United States
Summary
👤
Senior🎓
Top SchoolDavid Selby is an AVP for AI Risk and Governance and a Ph.D. data scientist with 11 years of experience translating complex government and education datasets into actionable policy and product insights. He has led interdisciplinary teams to operationalize ML and NLP—building ETL pipelines, CI/CD-enabled high-performance training, and LLM-driven EdTech features—while embedding ethical AI practices and governance. At MDRC he authored an AI roadmap that became corporate strategy and helped secure $15M in AI grants, and his work spans partnerships with federal agencies and major foundations. He combines academic rigor (PhD in Public Policy) with hands-on implementation, from state longitudinal data systems to synthetic control methods for program evaluation. Based in Chandler, Arizona, he also teaches and mentors graduate students in econometrics and visualization, turning technical concepts into usable dashboards. Less obvious: his background as a classroom teacher and litigation consultant informs a rare ability to communicate technical findings to diverse stakeholders, from courts to school boards.
11 years of coding experience
12 years of employment as a software developer
BA of History History, BA of History History at University of North Carolina at CharlotteDoctor of Philosophy (PhD) Public Policy and Public Administartion, Doctor of Philosophy (PhD) Public Policy and Public Administartion at Arizona State UniversityMaster of Public Policy (M.P.P) Public Policy Analysis, Master of Public Policy (M.P.P) Public Policy Analysis at George Mason University
Github Skills (6)
sector3
evaluation3
economics2
shell2
textbook2
cpp1
Programming languages (2)
Github contributions (5)
Watts-College/cpp-525-spr-2022
Mar 2022 - Oct 2022
Contributions:1 push, 15 comments in 7 months
Watts-College/cpp-527-spr-2022
Jan 2022 - Mar 2022
Contributions:2 PRs, 4 pushes, 41 comments in 1 month
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