Alexandros (Alex) Haridis is a registered architect (M.Arch) and design computing researcher with a Ph.D. in Architecture: Design and Computation from MIT. His research takes architecture and design as testbeds for questions of computational intelligence, with a particular focus on design judgment, shape computation, and representation. He examines how knowledge and processes concerning geometric form, aesthetics, and material culture, traditionally recorded in architectural texts, drawings, and archives, can be operationalized as computational resources. His writings appear in Nexus Network Journal, Environment and Planning B, Computers & Graphics, Journal of Mathematics and the Arts, and Design Computing & Cognition. He has been awarded fellowships and research grants from the MIT School of Architecture and Planning, the Harvard Data Science Initiative, and the A.G. Leventis and Onassis Foundations, among others.

Haridis has taught courses introducing students to research and scholarship in design computing, as well as advanced graduate seminars and architecture studios at Harvard University and Northeastern University. His latest research on algorithmic judgment, aesthetics, and the limits of data-driven AI in architecture and the applied arts is developed through Beyond Data-Driven Aesthetics, a research platform he directs. Its eponymous research exhibition at MIT’s Keller Gallery was supported by Harvard’s Paulson School of Engineering and Applied Sciences, MIT’s Department of Architecture, and The Henry Ford Museum of American Innovation. His work and interviews have been featured in MIT News, Kathimerini, and AI Art Magazine. Alongside his academic work, Haridis collaborates with and advises organizations in the built environment, education, and design technology.

For more information on publications, news, and ongoing projects, see this homepage.

Current Interests/Active Questions