Ashkan Radnia is a computational designer, software developer, architectural designer, and educator. His research has focused on using data science and deep learning methods to better understand how designers interact with common design software applications and how it can be improved. His work takes place at the intersection of design and technology, focusing on developing tools, workflows, and software that facilitate the architectural design process. Ashkan incorporates ideas and concepts borrowed from other fields such as computer science, human-computer interaction, to automate design processes, optimize geometry for fabrication, implement parametric workflows and educate designers on the computational design concepts and tools.
He is currently working as a Computation Design specialist at Callison RTKL providing technical support to implement computational design workflows across CRTKL's global offices. He is an adjunct faculty at Charlotte School of Architecture, teaching Computational Methods to graduate-level students.