Jorge Sainz de Aja Curbelo is Grimshaw’s urban computation manager, specializing in parametric and generative methodologies as well as geospatial data analysis. He has a background in architecture and urban design with a master’s and PhD in urban studies involving research into the implementation of urban data and evolutionary solvers to generate suitable urban renewal strategies scenarios based on sustainability and feasibility requirements. Since obtaining his PhD, Jorge has focused his career on the implementation of data-driven methodologies in urban design and master-planning projects. Jorge supports Grimshaw’s urban design and master-planning projects by implementing generative design strategies and developing the necessary capabilities to incorporate complex data requirements to inform the project development and reduce the required project resources through the generation and validation of different project scenarios based on different stakeholder’s requirements.
