Michael Bergin is a principal research scientist, product designer, and team leader for the User Experience team in the Design Research group, part of the Office of the CTO and Autodesk Research at Autodesk in San Francisco, CA. Michael contributes to the emerging field of generative design systems in domains ranging from automotive, aerospace, manufacturing and the built environment. He has authored publications, patents and software prototypes in the areas of design optimization algorithms, decision assistance for large solution spaces, problem modeling, and design data visualization.
Michael has taught workshops and full courses at dozens of universities including UC Berkeley, Stanford, University of Pennsylvania and MIT during and since his tenure as Program Manager for Education at Autodesk. His work has been published in Wired, Fast Company, Financial Times and the MIT Technology Review. Since 2013 Michael has worked as a Research Scientist in the Design Research group of the Office of the CTO at Autodesk in San Francisco. In this role he contributes to Project Dreamcatcher and advocates for generative design initiatives throughout the company.
Michael holds a Master of Architecture from the University of California, Berkeley, where he studied skyscraper design and engineering at Skidmore, Owings and Merrill’s Integrated Design Studio and completed research on urban planning in China through the National University of Singapore. Also at UC Berkeley he co-taught the introductory courses in construction and architectural design.
Outside of the office he enjoys trail runs, home renovation, biking and the bay area with his wife and various pets.
Nigel Morris, Michael Bergin, Francesco Iorio, Daniele Grandi (2016)Embedded sensors and feedback loops for iterative improvement in design synthesis for additive manufacturing
IDETC/CIE 2016 Conference proceedings:
ASME International Design Engineering Technical Conferences and Computers and Information in Engineering Conference
Michael Bergin, Mohammad Rahmani Asl, Adam Menter, Wei Yan (2014)BIM-based Parametric Building Energy Performance Multi Objective Optimization
eCAADe 2014 Conference proceedings:
eCAADe Education and Research in Computer Aided Architectural Design in Europe
Partners: Hong Kong University of Science and Technology, Concordia University, Université Laval, University of Toronto
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