Dawid is a computational designer at Differential, where he develops innovative solutions at the intersection of architecture, engineering, and technology. Passionate about integrating different data sources, artificial intelligence, and sustainability into the AEC industry, he leverages computational tools and machine learning workflows to optimize architectural processes and create environmentally conscious designs. He combines advanced training in computational design with a creative approach to problem-solving.
His professional experience includes roles at architectural offices such as PANOVA and LAX Laboratory for Architectural Experiments, where he honed his skills in BIM modeling, parametric design, and technical documentation. His educational background includes a Master’s in Advanced Computation for Architecture & Design from the Institute for Advanced Architecture of Catalonia (IAAC) and a Master’s in Architecture from The Silesian University of Technology.
