Liwei Wang

Liwei Wang is an Assistant Professor in the Department of Mechanical Engineering at Carnegie Mellon University. He directs the Computational and Physical Intelligence Laboratory (CPhI Lab), where his research focuses on developing machine learning algorithms, mechanics models, and multi-physics optimization methods for 3D/4D printing, smart structures, metamaterials, and multifunctional, programmable materials systems. His work explores applications that enhance human well-being and extend human capabilities, such as mechanical protective cloaks, minimally invasive surgery, flexible electronics, soft robotics, and mechanical computing. Before joining Carnegie Mellon, he was a postdoctoral scholar and visiting scholar at Northwestern University. Wang holds a B.S. and Ph.D. in mechanical engineering from Shanghai Jiao Tong University.

Liwei Wang is a researcher at Carnegie Mellon University, Northwestern University, and Shanghai Jiao Tong University, focusing on data-driven design, metamaterials, soft matter, topology optimization, and machine learning. Their work explores the integration of machine learning with physical principles to enable the design of advanced metamaterials and multiscale systems. Wang's research includes deep generative modeling, data-driven topology optimization, and the development of frameworks for metamaterial design with tunable properties. They have contributed to the creation of tools like METASET and t-metaset for exploring shape and property spaces in metamaterials. Their publications highlight the use of Gaussian processes, latent variable models, and physics-aware design methods to enhance the performance and scalability of metamaterial systems.