Summary
Adam Stephens is an R&D computer scientist and software lead for the Dakota optimization and uncertainty quantification toolkit at Sandia National Laboratories, bringing nine years of experience bridging scientific research and production software. He combines deep computational science expertise from a PhD in Chemical Engineering with hands-on HPC and algorithm development—skills honed during doctoral work on bimetallic catalyst modeling using DFT, cluster expansion, Monte Carlo, and global optimization. At Sandia he guides Dakota’s development to make advanced UQ, optimization, sensitivity analysis, and calibration methods accessible to engineers and decision makers. His background in process engineering and control systems adds practical insight into industrial workflows and instrumentation integration. Based in Albuquerque, he is adept at translating cutting-edge methods into reliable, scalable research software used across computational science communities.
9 years of coding experience
4 years of employment as a software developer
Bachelor of Science (B.S.), Chemical Engineering, Bachelor of Science (B.S.), Chemical Engineering at Texas Tech University
Doctor of Philosophy (Ph.D.), Chemical Engineering, Doctor of Philosophy (Ph.D.), Chemical Engineering at The University of Texas at Austin