Our Passion

You must either make a tool of the creature, or a man of him. You cannot make both. Let him but begin to imagine, to think, to try to do anything worth doing.
— John Ruskin, 1886

We are witnessing a shift in the way architectural practice is conceived. Whereas engineering already revolves around data-based models, traditional architectural practices are still in the process of adapting to such a system. Performance-driven design demands the integration of bottom-up approaches, together with a change from an artistic architecture towards a scientific one, enabling the designer to evaluate the implications of her input at a reduced temporal cost. 

There is a growing need from engineers and designers to create their own tools for solving specific problems. To this end, algorithmic thinking and design skills are crucial. Code allows us to expand the domain of the designer’s competences, hybridizing architecture and engineering in a seamless workflow. And exactly in this area lies one of our competences.With a passion for architecture and technology we thrive in applying our expertise to solve design problems of a different nature. 

We have experience working with state of the art computational techniques, from Machine Learning to evolutionary computation to design space syntax analysis, robotic vision and assembly, adaptive wearables, self regulated building management systems, geometry rationalization and sound installations among many other projects.

The Dream Team

 
Fabio Galicia Fabio is an Architect (UPM) and Computational Designer (UCL). Born and raised in Madrid, he has worked with several practices in Germany and Spain.His major interest lies in the growing field of Internet-of-Things, within which he has developed prototypes for Self-Regulated Building Management Systems. He relies on Machine Learning and data visualization as key tools for understanding and working with underlying patterns in Big Data. Together with Dániel, he developed the social experiment ‘eave’, a mobile app for alternative social exchange, presented at the international Symposium ‘Responsive Cities’ in Barcelona.  Twitter: @fabiogalicia_

Fabio Galicia

Fabio is an Architect (UPM) and Computational Designer (UCL). Born and raised in Madrid, he has worked with several practices in Germany and Spain.His major interest lies in the growing field of Internet-of-Things, within which he has developed prototypes for Self-Regulated Building Management Systems. He relies on Machine Learning and data visualization as key tools for understanding and working with underlying patterns in Big Data. Together with Dániel, he developed the social experiment ‘eave’, a mobile app for alternative social exchange, presented at the international Symposium ‘Responsive Cities’ in Barcelona. 
Twitter: @fabiogalicia_

Daniel Szemerey Daniel graduated as an MSc Architect-Engineer in Budapest (BUTE), his home town. He pursued Computational Design at The Bartlett School of Architecture (UCL), where he got interested in Physical Computing and Machine Learning. For his final thesis he developed a program that speeds up Spatial Analysis (VGA) by two factors, through employing an Artificial Neural Network. His main interest is to understand how advances in technology can be implemented in the design process, as these enable Architects to focus on the creative process. Twitter: @szemyd  

Daniel Szemerey

Daniel graduated as an MSc Architect-Engineer in Budapest (BUTE), his home town. He pursued Computational Design at The Bartlett School of Architecture (UCL), where he got interested in Physical Computing and Machine Learning. For his final thesis he developed a program that speeds up Spatial Analysis (VGA) by two factors, through employing an Artificial Neural Network. His main interest is to understand how advances in technology can be implemented in the design process, as these enable Architects to focus on the creative process.
Twitter: @szemyd

 

Charles Fried Charles received an MSc in Computational Architecture with Distinction from the University College London after Graduating from a BA(hons) in Industrial Design. He was born and raised in Paris, France and moved to London in 2012 to further his studies. He worked for a number of start-ups including the world's largest 3D printing platform in Amsterdam (3DHubs). Prior to joining TypeMe_ he offered a design and prototyping service to the creative sector (ProdPoint). His fascination lies in applying a scientific knowledge to design problems, by quantifying variables we can make more rational decisions. Twitter: @pencil_stroke

Charles Fried

Charles received an MSc in Computational Architecture with Distinction from the University College London after Graduating from a BA(hons) in Industrial Design. He was born and raised in Paris, France and moved to London in 2012 to further his studies. He worked for a number of start-ups including the world's largest 3D printing platform in Amsterdam (3DHubs). Prior to joining TypeMe_ he offered a design and prototyping service to the creative sector (ProdPoint). His fascination lies in applying a scientific knowledge to design problems, by quantifying variables we can make more rational decisions.
Twitter: @pencil_stroke

Mohamed Dawod Dawod is an Architect and Computational designer; with multidisciplinary interests ranging from parametric modeling, digital Fabrication to robotic automation. He holds an MSc in Architectural Computation from UCL. He has worked with several practices in Egypt where he got the chance to develop several design systems and work on various innovative projects and exhibitions. He has taught several local and international workshops about Digital design and Fabrication. He developed several robotic, 3d vision systems to enable the autonomous robotic construction. Twitter: @dawod_x  

Mohamed Dawod

Dawod is an Architect and Computational designer; with multidisciplinary interests ranging from parametric modeling, digital Fabrication to robotic automation. He holds an MSc in Architectural Computation from UCL. He has worked with several practices in Egypt where he got the chance to develop several design systems and work on various innovative projects and exhibitions. He has taught several local and international workshops about Digital design and Fabrication. He developed several robotic, 3d vision systems to enable the autonomous robotic construction.
Twitter: @dawod_x