Julian Panetta is an Assistant Professor of Computer Science at University of California, Davis. His research interests lie primarily in the domain of physical simulation, geometry processing, and optimization-based inverse design for digital fabrication. He develops efficient computational techniques for designing physical objects that meet specific performance goals and can be directly brought into the real world using additive fabrication or CNC machines. He is especially motivated to invent algorithms empowering users to exploit these technologies’ currently untapped potentials for a broad range of applications, from professional, industrial settings to casual use.