Summary
Carlos Budde is an Assistant Professor and researcher with 13 years of experience bridging formal methods, rare-event simulation, and high-performance computing to tackle safety and security risk analysis. He completed a CONICET-funded PhD in Computer Science and spent four years as a postdoc at Universiteit Twente applying formal methods and big-data/ML techniques to railway risk management before joining Università di Trento. His work blends theoretical process semantics with practical tooling for security-focused risk assessment, often scaling analyses using HPC techniques. Beyond academia he has hands-on C++ experience from an open-source 3D game project, reflecting a pragmatic approach to systems and sound design. Based in Trentino-Alto Adige, he brings a rare combination of rigorous formal research and applied engineering to complex, safety-critical domains.
13 years of coding experience
7 years of employment as a software developer
Doctor (PhD), Computer Science, Doctor (PhD), Computer Science at FAMAF - Universidad Nacional de Córdoba
Master of Science (MSc), Computer Science, 9.75/10, Master of Science (MSc), Computer Science, 9.75/10 at FAMAF Facultad de Matemática, Astronomía, Física y Computación - UNC
Spanish, English, German, Italian