Summary
Chris Bishop is a Lead Scientist with a PhD in Condensed Matter Physics and roughly a decade of experience applying computational physics, machine learning, and high-performance computing to real-world problems. He progressed from graduate research and Oak Ridge collaborations to senior research roles at Systems & Technology Research before stepping into leadership at STR, bridging deep research with deployable ML solutions. Chris is skilled at turning complex physical models into scalable, production-ready code and has a track record of optimizing compute-heavy workflows. Based in Greater Boston, he combines academic rigor with practical impact, often working at the intersection of simulation, data-driven modeling, and HPC. Notably, his background implies experience in both national-lab collaborations and industry-focused research transitions, making him effective at translating research prototypes into operational systems.
10 years of coding experience
5 years of employment as a software developer
Doctor of Philosophy - PhD, Condensed Matter Physics, Doctor of Philosophy - PhD, Condensed Matter Physics at University of Tennessee-Knoxville
Bachelor’s Degree, Physics, Bachelor’s Degree, Physics at University of Missouri-Saint Louis