Zhenlin Wang is a Battery Modeling Engineer at Apple with 12 years of experience bridging physics-based multiscale modeling, data-driven discovery, and software development for battery and materials systems. He holds a Ph.D. in Mechanical Engineering from the University of Michigan and built coupled electrochemical–mechanical frameworks and inverse-learning tools as a postdoc and grad researcher to reveal governing physics in batteries and soft materials. Zhenlin combines large-scale FEM expertise with machine learning for system identification and constitutive model discovery, and he maintains mechanoChemFEM, an open-source FEM library for mechano-chemical problems. Based in California, he translates μm-to-mm scale models into practical engineering solutions and is comfortable moving ideas from mathematical theory into production-ready code.
11 years of coding experience
7 years of employment as a software developer
Doctor of Philosophy (Ph.D.), Mechanical Engineering and Scientific Computing, Doctor of Philosophy (Ph.D.), Mechanical Engineering and Scientific Computing at University of Michigan
Bachelor’s Degree, Engineering Mechanics, Bachelor’s Degree, Engineering Mechanics at 四川大学
Contributions:12 commits, 37 pushes, 2 branches in 4 months
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