Pedro Veloso is a Graduate Instructor with the School of Architecture. He is a computational designer and architect interested in the intersection between artificial intelligence and design. In terms of intelligence, Pedro’s research addresses topics such as cybernetics, classical AI, bio-inspired AI, agent-based modeling reinforcement learning, and machine learning in the context of problem solving and design exploration and expression. In terms of design, he works with parametric modeling and programming to develop generative systems to address problems in the different scales of the built environment (sculpture, installations, building components, structure, facade, building mass, etc.). Currently, Pedro is investigating the application of AI in early spatial exploration, such as in architectural composition and space planning.