Joaquín González is an Assistant Research Professor and numerical methods specialist with 14 years of experience modeling granular materials and infrastructure behavior at CIMNE Madrid. He holds a PhD in Civil Engineering from UPC, where his awarded thesis applied the Discrete Element Method to railway ballast and received the XVI Talgo Prize for Technological Innovation. Joaquín has led and contributed to projects using PFEM and DEM and since 2019 has expanded into reliability analysis for dam safety, integrating advanced statistical techniques and machine learning into traditional computational mechanics. His work blends deep theoretical modeling with practical engineering applications, bridging research and real-world safety assessments. Based in Madrid, he is known for translating complex particle-based simulations into actionable insights for civil infrastructure. An understated strength is his cross-disciplinary fluency: he pairs high-fidelity numerical simulation expertise with emerging data-driven methods to improve predictive confidence.
14 years of coding experience
11 years of employment as a software developer
Ingeniero Industrial, Ingeniería, 7,2, Ingeniero Industrial, Ingeniería, 7,2 at Universidad de Oviedo
Contributions:2 PRs, 2 pushes, 2 branches in 1 day
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Joaquín González - Assistant Research Professor at CIMNE