Jonathon Sun is a Research Analyst at Verisk, where he conducts research and analysis on large-scale liability and casualty events. In his role, he contributes to the development, testing, and quality assurance of qualitative workflows, data processing, and validation practices that support reliable research outputs in risk and insurance contexts. He earned his Ph.D. in Higher Education from the University of Pennsylvania, where he employed methods such as Epistemic Network Analysis (ENA) to examine social and policy-relevant phenomena, including Asian American perspectives on affirmative action, higher education reparations, and students’ use of artificial intelligence. His work reflects a broader interest in how qualitative meaning-making processes can be systematically analyzed and translated into insights for policy, organizational decision-making, and behavioral analysis. He is particularly interested in bridging qualitative insight, computational methods, and statistical modeling to better understand human behavior in high-stakes institutional and organizational settings.