Zhenpeng Yao

Associate Professor

Shanghai, Shanghai, China
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Summary

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Senior
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Top School
Zhenpeng Yao is an Associate Professor at Shanghai Jiao Tong University and a computational materials scientist with 11 years’ experience translating first-principles DFT, high-throughput screening, autonomous lab workflows, and deep learning into next-generation battery materials. His work spans anode/cathode design, solid electrolytes, and MOFs, and he has led methodological innovations such as the NEPS approach for conversion reactions and design of anionic-redox-active Fe cathodes during appointments at the U.S. DOE and Harvard. Trained at Northwestern (PhD) and top-ranked programs in China, Zhenpeng blends rigorous theory with practical R&D—earlier at General Motors—bridging fundamental prediction and application for Li-ion and solid-state systems. An enthusiast for AI and robotics, he actively integrates machine learning and automation to accelerate materials discovery, reflected in his research portal compumatsresearch.com.
code11 years of coding experience
job6 years of employment as a software developer
bookDoctor of Philosophy (Ph.D.), Material Science And Engineering, 3.7/4.0, Doctor of Philosophy (Ph.D.), Material Science And Engineering, 3.7/4.0 at Northwestern University
bookBachelor of Science (B.S.), 3.5/4.0, Rank: Top 5%, Bachelor of Science (B.S.), 3.5/4.0, Rank: Top 5% at Huazhong University of Science and Technology
bookMaster of Science (M.S.), 3.7/4.0, Rank: 1/115, Master of Science (M.S.), 3.7/4.0, Rank: 1/115 at Shanghai Jiao Tong University
languagesChinese, English

Github contributions (2)

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Contributions:121 commits, 40 pushes in 5 months
Contributions:4 pushes, 1 branch in 1 day
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Zhenpeng Yao - Associate Professor