Summary
Dan Williams is an executive R&D leader specializing in computational fluid dynamics and high-performance physics solvers, with over two decades of experience building commercial CFD platforms and teams. He has led cross-disciplinary projects from low-level Fortran/C++ solver kernels to Python-enabled user workflows, driving CPU/GPU performance, cloud deployment and open API ecosystems. At companies including Ansys and Synopsys he has repeatedly rebuilt solver architectures, shipped new solvers, and steered multiphysics coupling and parallel interpolation work that underpin production engineering tools. A PhD-trained mechanical engineer, he pairs deep numerical modelling expertise with pragmatic software architecture and mentorship, scaling multinational teams and shipping robust, production-grade simulation features. Not obvious from titles: he has hands-on experience replacing legacy RPC stacks and automating solver partitioning and mapping—practical systems work that often determines whether advanced physics can run efficiently at scale. Based in Kitchener, Ontario, he blends academic rigor with product-focused engineering to make complex CFD capabilities accessible to industrial users.
10 years of coding experience
22 years of employment as a software developer
PhD Mechanical Engineering, PhD Mechanical Engineering at University of Calgary
English