Jakub Tyc is a computational design researcher and architect specializing in the integration of spatial data, machine learning, and advanced modelling methodologies to address complex challenges in architecture, urban planning, and environmental design.With a PhD in Architecture and Spatial Planning from TU Wien — awarded the Dissertationspreis der Stadt Wien 2024 for exceptional interdisciplinary research — He focuses on data-driven design processes that leverage composite voxel models, photogrammetry, and knowledge graphs to support ecologically responsive and performance-oriented architecture.Over the past years, he has contributed to and led interdisciplinary research projects at the intersection of architecture, digital workflows, and urban ecology, including the H2020 ECOLOPES and recently completed UGS 4.0 projects. His expertise spans computational design methodologies, voxel-based data integration, AI-supported analysis, and the development of custom software tools for urban planning, building performance simulation, and knowledge graph integration. His technical profile bridges architecture, data science, and software development, with expert-level proficiency in Python, spatial databases, GIS, and parametric CAD platforms like Rhino/Grasshopper. He actively contributes to the academic community through peer-reviewed publications, co-edited books, and presentations at international conferences, including Harvard GSD and Politecnico di Milano.