Zisheng Zhang
Stanford Energy Postdoc Fellow at Stanford University
Palo Alto, California, United States
Summary
👤
Senior🎓
Top SchoolZisheng Zhang is a Stanford Energy Fellow and theoretical/computational chemist with nine years of research experience applying statistical physics, quantum chemistry, accelerated computing, and ML/AI to design and understand functional materials, molecules, and catalysts. Trained with a PhD from UCLA, he works semi-independently at SLAC on StatMech + AI for catalysis under hosts Frank Abild-Pedersen and Thomas Jaramillo, bridging fundamental theory with data-driven methods. His background includes hands-on national-lab experience at Argonne and a track record of developing computational tools that traverse multiple spatial and temporal scales. Known for curiosity-driven problem solving, he blends rigorous theory with practical algorithmic innovations to accelerate materials discovery.
9 years of coding experience
5 years of employment as a software developer
University of California, Los AngelesBachelor of Science - BS Chemistry, Bachelor of Science - BS Chemistry at Southern University of Science and Technology
English, Japanese, Chinese, Spanish
Github Skills (8)
optimizer10
calculator8
jekyll7
javascript5
wave3
dft2
plane2
mse1
Programming languages (2)
Github contributions (5)
zishengz/gocia
Oct 2020 - Jan 2023
Global Optimizer for Clusters, Interfaces, and Adsorbates
Contributions:281 commits, 6 PRs, 265 pushes in 2 years 3 months
clustersinterfacesoptimizer
zishengz/zishengz.github.io
Mar 2023 - Mar 2025
A beautiful, simple, clean, and responsive Jekyll theme for academics
Contributions:46 pushes in 2 years
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