Summary
Kohei Suenaga is an Associate Professor and technical advisor with 11+ years of experience applying formal verification and machine learning to safety-critical systems, notably hybrid systems and smart contracts. Based at Kyoto University and advising startups and industry (Imiron, DaiLambda, Patentfield, Bunzz), he translates deep theoretical work—like infinitesimal programming and nonstandard static analysis—into practical verification for autonomous vehicles and blockchain code. His research blends type-based methods, numerical invariant synthesis, and Craig interpolation to make formal methods scalable and industry-ready. A PhD from the University of Tokyo, he is unusually focused on bridging rigorous mathematics with deployable tools, and regularly collaborates internationally (including a visiting scholar stint at Arizona State).
11 years of coding experience
7 years of employment as a software developer
University of Tokyo
English, Portuguese, Japanese