Trained as an architect, Kaicong Wu is also a computational designer and researcher. His current research focuses on regenerative design informed by generative computing, artificial intelligence, and robotic assembly, with the goal of uncovering architectural design solutions that are more customizable and highly reversible. He joins the University of Arkansas as a tenure-track Assistant Professor in the Fay Jones School of Architecture and Design and as an Arkansas Research Alliance (ARA) Innovation Scholar.

Kaicong teaches design studio and courses in advanced digital technologies, contributing to the school’s mission to prepare students for the evolving intersections of design, computation, and material innovation. His research investigates how emerging technologies, such as generative AI, simulation, and adaptive robotic workflows, can support environmentally responsive and publicly engaged design systems. By promoting diversity and reversibility in design outcomes, he seeks to bridge the gap between mass customization and sustainability challenges, arguing that socially responsible solutions need not come at the expense of natural resource consumptions. His creative portfolio spans computationally informed prototypes, built projects, and experimental methods that rethink material systems, geometric logics, and aesthetics.

As an ARA Innovation Scholar, Kaicong is committed to advancing applied research and building new collaborations with industries in alignment with statewide innovation priorities. His recent work has been featured at international venues including ACADIA, Rob|Arch, and the Design Modelling Symposium.

Kaicong holds a Ph.D. in Architecture (Computation and Energy track) from Princeton University and a Master of Architecture from the University of Pennsylvania. He is currently developing a new body of independent design and research work focused on computational methods and regenerative systems. Prior to joining the University of Arkansas, he served as an Assistant Professor at The University of Hong Kong and previously and was a Visiting Fellow at Princeton University.