Summary
Russell Davidson is a Research Software Engineer with a Ph.D. in Chemistry and over a decade of experience applying computational chemistry and molecular modeling to real-world problems. He transitioned from Ph.D. work at Colorado State University to a postdoc at Oak Ridge National Laboratory where he led high-throughput docking, pose-refinement, and workflow development that helped identify covalent inhibitors of SARS-CoV-2 PLpro. Russell builds end-to-end pipelines combining deep learning structure prediction (AlphaFold), molecular simulation (OpenMM, AMBER), and structural search tools to annotate proteomes at scale, and he’s comfortable running those workflows from laptops to national HPC systems. He mentors and teaches regularly, translating complex methods into reproducible scripts and tools for interdisciplinary teams spanning chemistry, biochemistry, and virology. His research curiosity centers on protein evolution and allostery, and he’s passionate about Open Science and leveraging big data for environmental and global health impact. An often-overlooked strength is his practical focus on metadata transfer between predicted and experimental structures to make functional annotations immediately useful to wet-lab collaborators.
11 years of coding experience
3 years of employment as a software developer
Doctor of Philosophy (Ph.D.), Chemistry, Doctor of Philosophy (Ph.D.), Chemistry at Colorado State University
Bachelor's of Science, Chemistry, 3.397, Bachelor's of Science, Chemistry, 3.397 at Elon University