Summary
Liang Tian is an IT Technical Specialist V and Ph.D. materials scientist with 8 years of experience blending computational materials modeling, scientific software development, and research computing operations. He has built scalable simulation and data-pipeline tools—from a C++ 3D Monte Carlo phonon transport solver to a parallelized Python ART_data_analyzer—that connect first-principles inputs to mesoscale kinetics and automate large-scale atomistic analysis. With deep expertise in DFT, molecular dynamics, phase-field, cluster expansion, Monte Carlo methods and emerging ML workflows, he has published 20 journal articles and delivered multiple conference talks. At The University of Alabama he now supports high-performance research computing, cluster administration and vendor partnerships while continuing to push algorithmic advances in materials thermodynamics and kinetics. Curious and interdisciplinary, his work fuses high-performance computing with philosophy and psychology influences visible in his public commentary and GitHub projects.
9 years of coding experience
2 years of employment as a software developer
Doctor of Philosophy (PhD), Materials Science and Engineering, 3.77/4.0, Doctor of Philosophy (PhD), Materials Science and Engineering, 3.77/4.0 at Iowa State University
Bachelor of Engineering (B.Eng.), Materials Science and Engineering, 3.5/4.0, Bachelor of Engineering (B.Eng.), Materials Science and Engineering, 3.5/4.0 at Central South University