By: Mischa St. Amand

Re-posted from: https://info.juliahub.com/blog/brad-carman-juliahub

JuliaHub is excited to announce the appointment of Brad Carman as our new Director of Consulting Services. Brad has over two decades of experience in model-based innovation and design. He brings with him a wealth of experience in modeling and simulation, and a deep understanding of the potential of modeling to tackle real-world product challenges, making him a valuable addition to JuliaHub’s team.

During his 15-year-long tenure at Instron and ITW, Brad was at the forefront of innovation, working on a diverse range of domains covering hydraulics, controls, heat transfer, vibrations, simulation, rigid body dynamics, and software. Most recently, he led the successful modeling and simulation of a hydraulic crash simulation system with JuliaSim and ModelingToolkit.jl, resulting in an optimal workflow with 500x speedup, cutting runtime from months to hours. The resultant configuration Catapult Light was not only simpler and cost-effective but also provided performance and precision only possible with a lower gain system.

By: Mischa St. Amand

Re-posted from: https://info.juliahub.com/blog/michael-tiller-juliahub

JuliaHub is pleased to announce that Dr. Michael Tiller has joined our leadership team as the Senior Director of Product Management for JuliaSim, the next-generation, cloud-based platform for model-based design that uses modern scientific machine learning (SciML) techniques and equation-based digital twin modeling and simulation to accelerate simulations by up to 500x.

Michael is a well-known modeling and simulation luminary, one of the contributors to the Modelica modeling language, creator of Modelica University, and author of two books including Modelica by Example, which have collectively been translated into Chinese, Korean, and Japanese. With more than 25 years of expertise at industry-leading organizations like Ford Motor Company and Ricardo, Michael has an unending fascination with new and interesting ways to harness computers and software to improve the way complex engineering problems are overcome.