Jinpeng Wu is an Associate Professor at Tsinghua University and a former postdoctoral fellow at Stanford with an affiliate role at Berkeley Lab, focused on battery systems, data-driven modeling, and experimental diagnostics. He holds a Ph.D. in Electrical Engineering from Tsinghua and applies Matlab and Lightning-based machine learning workflows to accelerate battery research and prognostics. His work bridges computational and experimental approaches to move lab-scale insights toward practical energy solutions. Unusually for an electrical engineer, he also holds a second bachelor’s degree in economics from Peking University, which he leverages for techno-economic analyses of energy technologies.
5 years of coding experience
1 year of employment as a software developer
Double Bachelor's degree, Economics, Double Bachelor's degree, Economics at Peking University
Doctor of Philosophy (Ph.D.), Electrical Engineering, Doctor of Philosophy (Ph.D.), Electrical Engineering at Tsinghua University
Contributions:1 review, 6 PRs, 48 comments in 1 year 7 months
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