Harry Liang
Senior Modeling Engineer at Tesla
Palo Alto, California, United States
Summary
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Senior🎓
Top SchoolHarry Liang is a Senior Modeling Engineer in Palo Alto with nine years of experience applying deep learning, optimization, and physics-based modeling to battery systems and materials discovery. He blends doctoral-level research from MIT in computational science and materials engineering with hands-on industry impact at Tesla, where he develops multi-physics and porous-electrode models to improve fast-charge performance across diverse cell formats. His open-source Hybrid-MPET framework and first-author publications demonstrate a rare combination of building research-grade simulation tools and validating them against experimental electrochemical data. Harry has repeatedly translated complex models into production-relevant workflows—e.g., automating COMSOL runs on HPC and reducing model run-times from days to minutes—to inform multi-million dollar decisions. He also mentors and communicates technical strategy, having guided researchers and engineers on portfolio design and data visualization across MIT programs.
9 years of coding experience
6 years of employment as a software developer
Bachelor of Science Materials Science and Computer Science, Bachelor of Science Materials Science and Computer Science at University of California, BerkeleyDoctor of Philosophy - PhD Computational Science and Engineering, Doctor of Philosophy - PhD Computational Science and Engineering at Massachusetts Institute of Technology
Finnish, Chinese, English
Stackoverflow
1reputation
0reached
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Github contributions (5)
PV-Lab/Benchmarking
Oct 2020 - Nov 2021
Contributions:50 commits, 19 pushes in 1 year 1 month
HarryQL/Hybrid-MPET
May 2023 - Feb 2024
Contributions:14 pushes, 2 branches in 8 months
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