Host: Bill Regli
Engineering is—and always has—encompassed a generative component, however computation is ultimately what allows us to solve the next generation of engineering problems via technology like implicit modelling. Capturing engineering knowledge/process & locking it down via digitization is key to scalability across teams & key to responding in real time to changes. Especially with advanced manufacturing & the increasing importance of large datasets, engineering process are becoming more & more difficult to understand with disconnected tools & impossible to automate due to fragile underlying data structures. Implicit modelling provides the robust underlying data model to build scalable engineering processes on top of & built for automation from the start.
Bradley Rothenberg is the CEO & founder of nTopology, a startup developing algorithmic computer aided engineering/design software based in New York City. Prior to founding nTopology, he was working on high performance 3D-printed mirrors with embedded cooling channels. Bradley studied architecture at Pratt Institute in Brooklyn, New York. Brad has been developing computational design tools for advanced manufacturing for the last 10+ years.