Summary
Hantao Zhang is a postdoctoral researcher specializing in spintronics and neuromorphic computing, combining analytical theory with large-scale computational simulation. With a PhD in Electrical Engineering from UC Riverside and prior MS work at MIT, he brings eight years of experience across computational materials science, density functional theory, molecular dynamics, and phonon transport. His work is conducted in collaboration with NIST, translating fundamental magnetic-materials insights into device-relevant models for antiferromagnetic and neuromorphic systems. Comfortable moving between first-principles atomistic calculations and higher-level analytical models, he often bridges gaps between materials predictions and functional device concepts. A math-trained thinker from USTC, he also has unexpected experience in quantitative financial modeling and experimental nanomaterials synthesis, reflecting a versatile, interdisciplinary approach.
8 years of coding experience
1 year of employment as a software developer
Master of Science - MS, Nuclear Science and Engineering, Master of Science - MS, Nuclear Science and Engineering at Massachusetts Institute of Technology
Bachelor of Science - BS, Applied Physics, Bachelor of Science - BS, Applied Physics at University of Science and Technology of China
Doctor of Philosophy - PhD, Electrical Engineering, Doctor of Philosophy - PhD, Electrical Engineering at University of California, Riverside
Chinese, English