Pedro Veloso

Pedro Veloso 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. 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.).

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An Academy of Spatial Agents - Generating spatial configurations with deep reinforcement learningAn Academy of S…Integrating building footprint prediction and building massing - an experiment in PittsburghIntegrating bui…DeepCloud. The Application of a Data-driven, Generative Model in DesignDeepCloud. The …An Academy of Spatial AgentsAn Academy of S…
Pedro Veloso
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