Chloe (Soo hwa) Hong

Chloe Hong is a PhD candidate advised by Caitlin Mueller, within the Digital Structures Group. Before coming to MIT, she received her M.S. in Computational Design at Carnegie Mellon University with a concentration in machine learning, computational geometry and fabrication. She completed her Bachelor's at Seoul National University.

Her research focuses on furthering computational methods to create novel designs that can be built, and to find better ways to build designs. Specifically, she is interested in developing machine learning based systems that can simultaneously reason geometry, realistic conditions in the construction process such as reuse of existing materials, assembly sequences, and structural behavior. She seeks 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 her are optimization, geometric representation, physical simulation and developing interpretable, customizable generative models.