Summary
David Williamson is a Senior Manager of Privacy Product Success and former numerical astrophysicist with eight years of experience applying advanced statistical and computational techniques to health data privacy. He blends hands-on data science (Python, C/C++, Fortran) with people leadership—having managed teams of data scientists and guided international clients through technical and non-technical privacy compliance work. His PhD in Computational Astrophysics underpins strengths in mathematical modeling, algorithm optimization, and high-performance simulation, skills he’s translated into practical privacy methodologies and workflow improvements. Comfortable communicating complex analyses in meetings and written reports, he operates at the intersection of research-grade computation and product-focused delivery. Based between Canada and the UK during his career, he brings a global perspective and a knack for turning rigorous academic methods into usable, auditable privacy solutions.
8 years of coding experience
4 years of employment as a software developer
PhD Computational Astrophysics, PhD Computational Astrophysics at Saint Mary's University
Master of Science - MS Condensed Matter and Materials Physics, Master of Science - MS Condensed Matter and Materials Physics at Victoria University of Wellington
English