Grace X. Gu

Grace X. Gu is an Associate Professor of Mechanical Engineering at the University of California, Berkeley, and serves as the Chair of the department. She holds the Don M. Cunningham Endowed Professorship. Her research interests include composites, multi-physics modeling, bioinspired materials, artificial intelligence & machine learning, data-driven additive manufacturing, biomanufacturing, in-situ monitoring and process control, and generative AI for aerospace. She has contributed to several key publications in areas such as deep learning accelerated design of architected materials, machine learning for functional materials, and bioinspired composites. Her work is further detailed on the Gu Research Group website.

Grace X. Gu is an Associate Professor in Mechanical Engineering at UC Berkeley, specializing in Additive manufacturing, Bioinspired materials, Machine learning, and Solid mechanics. Her research focuses on integrating machine learning with advanced manufacturing techniques to design and optimize composite materials with enhanced mechanical properties. Gu's work explores bioinspired hierarchical structures, 4D-printing, and deep learning for inverse materials design. She has developed methodologies for autonomous correction of additive manufacturing processes and real-time anomaly detection in 3D bioprinting. Her research bridges computational modeling, experimental validation, and material innovation to address challenges in mechanical performance and functional design.