Summary
Tristan Maxson is a computational scientist and chemical engineer with 11 years of experience bridging experimental chemistry and high-performance computational methods. Currently a DOE Computational Science Graduate Fellow and PhD candidate at The University of Alabama, he focuses on automated calculations and machine learning to accelerate heterogeneous catalysis research. His background spans molecular dynamics and enhanced sampling of interfacial water at national labs to hands-on synthesis and photocatalysis studies, giving him a rare fluency in both lab techniques and HPC workflows. He builds and patches simulation toolchains (GPAW, CP2K, VASP) and writes production scripts in Python, Bash, and C#, enabling reproducible, scalable studies on clusters. Based in Tuscaloosa, he pairs deep domain knowledge with practical instrumentation and teaching experience, having trained undergraduates on NMR, GCMS, HPLC and more.
11 years of coding experience
8 years of employment as a software developer
Doctor of Philosophy - PhD, Chemical Engineering, Doctor of Philosophy - PhD, Chemical Engineering at The University of Alabama
Master of Science - MS, Chemistry, Master of Science - MS, Chemistry at Ball State University
English