Rafał Kucharski is an associate professor and researcher specializing in complex urban mobility systems, combining network science, agent-based simulation, and machine learning to model, optimize, and control congested multimodal networks. With over a decade of experience bridging academia and industry, he has led NCN-funded research on shared mobility during the pandemic, contributed to an ERC project on ride-pooling at TU Delft, and built production-ready ML and real-time traffic forecasting solutions in industry roles. His work spans model estimation, behavioral and economic choice modelling, stochastic simulation, and epidemic-informed mobility analysis, grounded in a PhD on non-equilibrium dynamic traffic assignment. Based in Kraków, he leads a growing research team recruiting PhD students in network science and behavioral modelling and routinely turns large mobility trace datasets into actionable policy and platform insights. An interdisciplinary thinker who studied philosophy alongside engineering, he brings both rigorous quantitative methods and a broader human-centered perspective to transport problems.
9 years of coding experience
13 years of employment as a software developer
High School Diploma, High School Diploma at V LO Gliwice
Master of Science, Transportation, Master of Science, Transportation at Politechnika Krakowska im. Tadeusza Kościuszki
3 years no degree, Philosophy, 3 years no degree, Philosophy at Uniwersytet Jagielloński w Krakowie
Contributions:2 pushes, 1 branch in 1 year 5 months
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