Summary
Troy Loeffler is a Software Programmer Specialist and researcher with nine years of experience applying machine learning to Monte Carlo, molecular dynamics, and materials science problems. He led development of the Continuous Monte Carlo Tree Search (cMCTS) algorithm and has translated it into production-grade software for real-time, high-performance analysis in national-lab and defense projects. Troy’s work spans building physical and ML-based models, leveraging genetic algorithms, deep networks, reinforcement learning, and active learning to predict material properties from large, complex datasets. He has deployed AI platforms integrated with electron microscopes and contributed code and research published in Nature Communications. Based in Coeur d’Alene, Idaho, he now brings that research-driven engineering to xAI, bridging advanced algorithm design with practical systems engineering. An uncommon strength is his ability to move novel Monte Carlo/MD research into robust, real-time pipelines used by DOE and DoD stakeholders.
8 years of coding experience
2 years of employment as a software developer
Doctor of Philosophy (PhD), Computational and Theoretical Chemistry, 3.92, Doctor of Philosophy (PhD), Computational and Theoretical Chemistry, 3.92 at Louisiana State University
Bachelor of Science (BS), Chemistry, Bachelor of Science (BS), Chemistry at Washington State University
English, German, Japanese