Coleman Snell is a researcher specializing in AI governance, risk modeling, and grand strategy approaches to addressing emerging technology hazards. His work focuses on developing frameworks for understanding and mitigating AI-related risks, with particular attention to the socio-technical dynamics of AI safety, the political-economic implications of advanced AI systems, and pathways to societal resilience in the face of potential collapse scenarios.

Coleman was a past visiting researcher at Cambridge Center for the Study of Existential risk, and currently attends Cornell University, where he is finishing a B.A. in psychology and philosophy. While at Cornell, Coleman helped to found Cornell’s AI Safety Laboratory (LAISR), held a past research position at UChicago’s X-Risk Laboratory, and worked with the Bulletin of Atomic Scientists before their 2024 Doomsday Clock Announcement. In addition to his research, Coleman engages in public and policymaker-focused science communication to promote understanding of existential risks and the importance of proactive AI governance.

Coleman’s research integrates insights from systemic risk modeling, governance theory, and strategic planning to explore the long-term implications of AI development. His interests include modeling grand strategies to address global AI risks, analyzing the intersection of AI technologies with political and economic systems, and identifying robust interventions to ensure the safe and equitable deployment of AI.

Committed to interdisciplinary approaches, Coleman contributes to the broader understanding of how AI governance can address global catastrophic risks and societal challenges. His work supports efforts to align AI development with humanity's long-term well-being and resilience.