Phil Bernstein is an architect and technologist who has taught at the Yale School of Architecture since 1988 and where he received his B.A and M.Arch. He was a Vice President at Autodesk where he was responsible for setting the company’s future vision and strategy for BIM technology. Prior to Autodesk Phil was a principal at Pelli Clarke and Partners Architects where he managed many of the firm’s most complex commissions including projects for the Mayo Clinic, Goldman Sachs, and Reagan Washington National Airport. He is the author of Machine Learning: Architecture in the Age of Artificial Intelligence (2022), Architecture | Design | Data – Practice Competency in the Era of Computation (2018) and co-editor of Building (In) The Future: Recasting Labor in Architecture (2010 with Peggy Deamer), and consults, speaks and writes extensively on technology, practice and project delivery. He is a Fellow of the American Institute of Architects, a Senior Fellow of the Design Futures Council, and former Chair of the AIA National Contract Documents Committee.
Autonomous Algorithmic Architects: Wicked Problems of Machine Learning in Architecture, Tue, May 9 '23
How should the architectural profession consider and respond to futures made possible by advances in artificial intelligence? Can we propose a willful, designed route that acknowledges the inevitability of intelligent machines intersecting with every dimension of design and construction, while ...
Yale University, New Haven, CT, US, Lecturer, Senior Lecturer, Associate Dean, Professor Adjunct
Autodesk Inc, Boston, MA, Vice President
Pelli Clarke & Partners, New Haven, CT, Project Manager, Associate, Associate Principal