Summary
Philip Haupt is a computational physicist and postdoctoral researcher with 11 years of experience applying advanced mathematics, ab initio quantum chemistry, and quantum Monte Carlo methods to challenging numerical and highly parallelised problems. He builds robust, scalable scientific software and integrates machine learning and quantum computing techniques to accelerate research, notably on explicitly correlated methods developed during his PhD at the Max Planck Institute. Comfortable bridging theory, large codebases, and experiment, he has worked across leading labs in Europe and North America on projects ranging from polymer sequencing algorithms to superconducting spectroscopy analysis. Philip’s background in physics, mathematics, and computer science—coupled with hands-on data engineering experience at the RCMP—gives him a rare blend of rigorous theory, practical software engineering, and applied data analysis. He is driven by interdisciplinary curiosity and by translating computational innovations into real-world impact in areas like renewable energy, quantitative finance, and scientific instrumentation.
11 years of coding experience
5 years of employment as a software developer
Bachelor’s Degree Combined Honours in Physics and Mathematics Minor in Computer Science, Bachelor’s Degree Combined Honours in Physics and Mathematics Minor in Computer Science at The University of British Columbia
Doctor of Philosophy - PhD Physics, Doctor of Philosophy - PhD Physics at University of Toronto
Doctor of Philosophy - PhD Theoretical and Computational Chemistry, Doctor of Philosophy - PhD Theoretical and Computational Chemistry at Max Planck Institute for Solid State Research
English, Afrikaans, Spanish, French, German