James Bono is a Principal Research Lead at Microsoft Security with 13 years of experience applying microeconomic methods, causal inference, and decision sciences to quantify cyber risk and inform high‑stakes product and policy decisions. He leads the Economics and Decision Sciences team and has shaped Microsoft Security’s Ambition AI research agenda, translating rigorous academic techniques into operational risk measurement and strategic business insights. Prior roles span senior economic consulting and academic research, where he built mathematical models at the intersection of game theory, machine learning, and behavioral economics. Based in the Bay Area, he combines PhD‑level economics training with hands‑on analytics to push cyber risk quantification toward a scientific standard, and serves on the advisory board of ClimaTwin®, reflecting cross‑domain interest in climate and systems modeling.
13 years of coding experience
10 years of employment as a software developer
B.A International Studies Mathematics, B.A International Studies Mathematics at American University
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