Summary
Christopher Myers is a Senior Machine Learning Scientist and computational physicist with nine years of experience building high-performance scientific software, optimizing GPU and CPU workflows, and integrating ML with molecular simulation. A former DOE program manager who oversaw multi-million node-hour allocations, he combines strategic HPC stewardship with hands-on C++, Python, and GPU-accelerated development to deliver reproducible simulation pipelines. His research spans polarizable force fields, quantum chemistry for spectroscopy, and enhanced-sampling MD, and he has a track record of aligning simulations with experimental spectroscopy and mass-spec data. Comfortable leading teams and mentoring students, he has published peer-reviewed models and production-ready tools that scale across clusters. Now focused on deepening AI/ML expertise, he seeks roles that improve the accessibility and infrastructure of scientific software.
9 years of coding experience
5 years of employment as a software developer
Doctor of Philosophy (Ph.D.), Physics, Doctor of Philosophy (Ph.D.), Physics at University at Albany, SUNY