Summary
Zachary Trautt is a Materials Research Engineer with over a decade of experience applying semantic technologies and web applications to make materials science data more findable, accessible, interoperable, and reusable. Based at NIST, he bridges deep domain expertise in atomistic simulation and grain-boundary thermodynamics—developed during doctoral and research roles—with practical data strategy contributions at the federal level. His work uniquely combines HPC-based materials modeling, standards-driven metadata design, and hands-on tooling to accelerate data-intensive materials discovery. He holds advanced degrees from Colorado School of Mines and has a track record of initiating cross-disciplinary collaborations that couple simulation, experimentation, and semantic infrastructure to speed translation of new materials.
10 years of coding experience
8 years of employment as a software developer
Ph.D., Engineering Systems (Mechanical Specialty), Engineering Physics, Materials Science, Ph.D., Engineering Systems (Mechanical Specialty), Engineering Physics, Materials Science at Colorado School of Mines