The FRI team

Jordan Canedy

Senior Researcher

Jordan is a researcher with a background in computational mathematics and product management. He is interested in applying rigorous scientific methods to improve decision-making for high-stakes, societally impactful issues. Previously, at Google, he led impact evaluation and data analytics infrastructure for technical education initiatives, equipping decision-makers with data-driven insights to assess and optimize and evaluate their programs. Jordan holds an M.Sc. in Applied and Computational Mathematics from Johns Hopkins University and a B.A. in Engineering Sciences from Harvard University.

Research authored
Project
The Longitudinal Expert AI Panel (LEAP)
Ongoing
Working paper
The Longitudinal Expert AI Panel: Understanding Expert Views on AI Capabilities, Adoption, and Impact
Nov 10, 2025
Working paper
Assessing Near-Term Accuracy in the Existential Risk Persuasion Tournament
Sep 2, 2025