Sebastian Junges is an Assistant Professor in computer science at Radboud University with 14 years of experience building algorithmic decision-making tools for safety-critical systems. His research sits at the intersection of formal methods and AI, focusing on extensions of Markov decision processes to certify dependable behavior in domains from UAVs and railroad infrastructure to network protocols and hardware. He holds a PhD with distinction from RWTH Aachen and brings postdoctoral experience from UC Berkeley’s LearnVerify group, combining deep theory with applied tool development. Sebastian’s work addresses practical certification questions—such as safe drone landing and automotive test-suite generation—by reasoning about system evolution under uncertainty. Beyond academia, he has led student engineering teams and contributed to SMT solvers and statistical model checkers, reflecting a hands-on approach to turning formal insights into working systems.
14 years of coding experience
6 years of employment as a software developer
VWO (High School), VWO (High School) at S.G. Augustinianum
PhD (Dr. rer. nat), Computer Science, with Distinction, PhD (Dr. rer. nat), Computer Science, with Distinction at RWTH Aachen University
Contributions:541 commits, 1 PR, 8 pushes in 5 years 4 months
markov-chainmodel-checkingparameters
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Sebastian Junges - Assistant Professor at Radboud University