Summary
Ryan Defever is a Director of Technology Development and Ph.D. chemical engineer who builds end-to-end, cloud-deployed solutions that fuse machine learning, automation, and web frontends to solve energy-industry problems. He has 8+ years of computational and molecular modeling experience—authoring 15+ peer-reviewed papers—and has translated that research rigor into production data science and engineering roles at Phillips 66 and now Aegis Sortation. Ryan’s work spans laboratory, pilot, and production-scale process data, integrates third-party simulators and data-acquisition systems, and includes high-throughput simulation pipelines and CI/CD for scientific software. Notably, he has developed surrogate modeling approaches, a Python interface for the Cassandra Monte Carlo package, and scalable workflows that ran tens of thousands of simulations, showing a rare ability to move deep thermodynamics and sampling methods into operational tools. Based in Bartlesville, OK, he combines domain expertise in liquids and statistical thermodynamics with practical software delivery to drive measurable process and product improvements.
8 years of coding experience
12 years of employment as a software developer
Doctor of Philosophy - PhD, Chemical Engineering, Doctor of Philosophy - PhD, Chemical Engineering at Clemson University