Daniele Grandi is working on Project Dreamcatcher in the Design Research group as an Application Engineer, focusing on closing the feedback loop from the end-user back to the research team by pushing the limits of generative design.
Daniele holds a B.S. in Mechanical Engineering from the University of California, Berkeley, with a focus on design for manufacturing, mechatronics, and human-centered design. Daniele got involved with Autodesk through the Autodesk Student Expert program soon after starting the first 3D Modeling Club (3DMC) at UC Berkeley. Since then, Daniele has become an Autodesk Expert Elite, while 3DMC continues to foster design innovation by helping students become additive manufacturing experts.
Prior to Autodesk Daniele worked for a metal Additive Manufacturing startup, where he helped set up a low-volume rapid prototyping machine shop, as well as holding an engineering consulting role helping customers design, simulate, and optimize parts and assemblies for AM, while exploring the future of manufacturing.
Outside of the office Daniele takes advantage of the Bay Area music and food scenes, while escaping into nature as much as possible.
Nigel Morris, Michael Bergin, Francesco Iorio, Daniele Grandi (2016)Embedded sensors and feedback loops for iterative improvement in design synthesis for additive manufacturing
IDETC/CIE 2016 Conference proceedings:
ASME International Design Engineering Technical Conferences and Computers and Information in Engineering Conference
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