Arpad Rozsas is a Senior Staff Data Scientist with 11 years of experience at the intersection of data science, computational mechanics and infrastructure risk, currently driving analytics at Equilibrium Energy. He combines deep academic training (PhD in Civil Engineering) with hands-on software development across Python, Julia, R and MATLAB to deliver predictive models, structural health monitoring solutions, and climate-aware extreme value analyses for civil and offshore assets. Arpad has led multi-year, €1M+ research projects, supervised 30+ MSc students, and co-founded a data-driven startup addressing humanitarian needs, showing both technical leadership and entrepreneurial initiative. He is comfortable taking models from Bayesian inference and deep learning through to production using CI/CD, Docker and cloud platforms, and brings uncommon fluency in both finite element tools and probabilistic software stacks. Known for translating physics-informed ML into practical risk assessments, he blends research rigor with product-minded delivery.
11 years of coding experience
10 years of employment as a software developer
Research stay, Structural Reliability, Research stay, Structural Reliability at Czech Technical University in Prague
Bachelor’s Degree, Civil Engineering, Excellent, Bachelor’s Degree, Civil Engineering, Excellent at Budapest University of Technology and Economics
Reliability-based code calibration for steel structures considering ultimate limit states - Belarus, Eurocode
Contributions:58 commits, 6 PRs, 20 pushes in 5 years 6 months
perfsteelrisk-analysiscalibrationreliability
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