Morad Behandish manages the Computational Design area at PARC. He leads a rapidly growing research portfolio at the intersection of geometric modeling, computational physics, and artificial intelligence (AI) in support of digital design and manufacturing. Morad’s research interests span developing geometry- and physics-aware models, computable representations, algorithms, and AI frameworks in support of forward and inverse problems. His recent activities include physics-informed surrogate modeling, high-fidelity process simulation, design automation, and process planning for additive, subtractive, and hybrid manufacturing. As a Principal Investigator, he has been overseeing successful execution of several government-funded projects in these areas, including three projects in DARPA AI Research Associate and DARPA Computable Models programs, two of which are in collaboration with Stanford University. He has made major contributions to DARPA Transformative Design and DARPA Fundamentals of Design programs as well as commercial projects for Xerox 3D printing and Sandvik machining solutions. He serves on the Executive Committee of the Solid Modeling Association (SMA), and has served in other capacities in SMA, ASME, and NSF. Prior to joining PARC, Morad was a Postdoctoral Fellow at the International Computer Science Institute (ICSI) of UC Berkeley. He received his Ph.D. from University of Connecticut in 2016 in Mechanical Engineering and has a Master’s degree in Computer Science and Engineering. He is the recipient of the ASME CIE Best Ph.D. Dissertation Award, three Best Paper Awards in international (SPM and ASME) conferences, and a number of other research, leadership, and entrepreneurship awards.