Summary
Mary Coe is a Senior Software Engineer with eight years’ experience bridging academic research and industry software development, now at Hexagon Manufacturing Intelligence. She holds a PhD in Theoretical and Computational Physics from the University of Bristol, where she wrote custom Python and C++ simulation codes to probe the thermodynamic origins of hydrophobicity using classical density functional theory and grand canonical Monte Carlo. Mary has a track record of turning complex scientific models into robust, user-friendly code—rewriting institutional tooling from R to Python and producing thorough developer documentation and teaching materials. Her background spans charge-transport modelling, earthquake-forecast ensemble methods, and a recent pivot into machine and deep learning, giving her a broad computational toolkit. Colleagues value her for clear technical communication and the ability to simplify workflows without sacrificing theoretical rigor. Her public GitHub showcases the research-grade tools she developed, reflecting a habit of shipping reproducible, well-documented scientific software.
8 years of coding experience
3 years of employment as a software developer
Master of Physics (MPhys), Physics, 1st Class honors, Master of Physics (MPhys), Physics, 1st Class honors at University of Bath
Cirencester College
Doctor of Philosophy - PhD, Theoretical and Computational Physics, Doctor of Philosophy - PhD, Theoretical and Computational Physics at University of Bristol
English