Manuel Ladron de Guevara

Manuel Ladron de Guevara is a PhD student at Carnegie Mellon University and until recently, a research intern at Adobe Research. He is a computational designer, roboticist and researcher on machine learning and art. His current research examines neural painting algorithms.

Previously, his research investigated the trace that natural language leaves in the design process, that is, how design artifacts register the subjective and rather ambiguous design intents present in early conceptual design stages. Excavating these language marks present on design objects could potentially set the ground for new design frameworks through the use of natural language and deep learning algorithms, enabling the transition from CAD—Computer Aided Design— to AIAD—Artificial Intelligence Aided Design.

Manuel contributes to the architectural education at the Carnegie Mellon University, teaching Studios at a Freshmen and Sophomore years since 2018, and Pre-College in 2017, 2018 and 2019. Manuel is also a licensed architect and has worked in the industry for a number of years in Cloud9, Enric Ruiz Geli, in Barcelona. He also earned experience in construction working as an ARB architect in London, England. He designed and built his first building in Spain at the age of 25.

Manuel holds a Bachelor and M.arch of Architecture from the Polytechnic University of Catalonia, ETSAB, receiving Honors for his Thesis Research Project. He also holds a Masters of Advanced Architectural Design (MAAD) from the Carnegie Mellon University.

Manuel is co-founder of CRAIDL—Creative Artificial Intelligence and Design Launchpad— AI research group, at the Code Lab, Carnegie Mellon University.