Chloe (Soo hwa) Hong

I am a second year PhD candidate in Building Technology at MIT, advised by Caitlin Mueller, within the Digital Structures Group . Before that, I received my M.S. in Computational Design at Carnegie Mellon University advised by Daniel Cardoso Llach and Chris McComb, with a concentration in machine learning, computational geometry and fabrication. I completed my Bachelor's at Seoul National University.
My research focuses on furthering computational methods to create novel designs that can be built, and to find better ways to build designs. Specifically, I am interested in developing generative models that can simultaneously reason geometry, realistic conditions in the construction process such as reuse of existing materials, assembly sequences, and structural behavior. I seek to advance performance driven design to larger design spaces where existing optimization frames become intractable and to leverage the tacit sensibility involved in architecture practices to navigate this complexity.
Topics that excite me are optimization, geometric representation, physical simulation and interpretable and customizable generative models. Check out my blog.