Zisheng Zhang
Stanford Energy Fellow at SLAC National Accelerator Laboratory
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
Bachelor of Science - BS, Chemistry, Bachelor of Science - BS, Chemistry at South University of Science and Technology of ChinaUniversity of California, Los Angeles
English, Japanese, Chinese, Spanish
Github Skills (6)
optimizer10
jekyll7
calculator7
javascript4
dft4
jekyll-theme3
Programming languages (3)
Github contributions (5)
zishengz/zishengz.github.io
Nov 2018 - Jan 2023
BY Blog ->
Contributions:462 commits, 438 pushes in 4 years 2 months
jekyll
zishengz/gocia
Oct 2020 - Jan 2023
Global Optimizer for Clusters, Interfaces, and Adsorbates
Contributions:281 commits, 7 PRs, 271 pushes in 2 years 3 months
clustersinterfacesoptimizer
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