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  Rafael Pastrana


︎︎ @arpastrana
 

Rafael is a Ph.D. student at Princeton University, where he also pursues a graduate certificate in Statistics and Machine Learning and develops COMPAS CEM.

He holds a Master of Advanced Studies in Architecture and Digital Fabrication from the Swiss Federal Institute of Technology (ETH) Zurich, and is a registered member of the Swiss Society of Engineers and Architects (SIA).

For over 3 years, Rafael worked at Bollinger + Grohmann Ingenieure, where he was responsible for the parametric structural analysis and geometrical rationalization of art installations, among other architectural projects, in Europe and in Australia.

Rafael colaborated with the Block Research Group. There he contributed to the development of a COMPAS package to streamline the generatation of the fabrication data for one of the full-scale prototypes of the functionally-integrated, funicular floors at the NEST HiLo unit.

At Gramazio Kohler Research, and in collaboration with Autodesk, he participated in the deployment of a reinforcement learning model that automatically overcomes geometrical and material inaccuracies during the robotic assembly of timber structures.