DIGIT Lab
In the Design Innovation & Generative Intelligence (DIGIT) Lab, we answer this overarching question: How can AI augment our ability to design better materials, structures, and engineered systems? Our work has two sides. First, we leverage AI to push the limits of what can be designed. This involves unlocking design complexity beyond the capability of traditional methods and enabling the discovery of “outside-the-box” solutions. Meanwhile, we keep people at the center of this process by making AI-driven design trustworthy to engineers and turning what AI learns into knowledge that makes us better designers.
Toward these goals, we develop computational methods for generative design and design under uncertainty, demonstrated on problems ranging from aerodynamic shapes to engineered materials. Learn more about our research and publications.
Join Us!
Are you passionate about pushing the boundaries of AI and machine learning for engineering design? We have openings for fully funded Ph.D. positions starting Fall 2027, and we’re looking for enthusiastic individuals to join our team!
Latest News
Our paper “GUST: Quantifying Free-Form Geometric Uncertainty of Metamaterials Using Small Data” has been accepted by the Journal of Mechanical Design. More information can be found in Publications.
