Meng Zhao
Senior Data Scientist
Palo Alto, California, United States
Summary
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Senior🎓
Top SchoolMeng Zhao is a Senior Data Scientist based in Palo Alto with seven years of experience applying computational chemistry and data science to accelerate materials discovery and catalysis research. Holding a Ph.D. in Computational/Theoretical Chemistry, Meng blends first-principles modeling (VASP, Gaussian, ASE) with ETL pipelines and machine learning (scikit-learn, pandas) to uncover structure–property relationships and surface reaction mechanisms. At Bayer and prior research at Stanford’s SUNCAT, Meng has translated complex DFT outputs into actionable insights for heterogeneous and electrocatalysis problems. Comfortable in both research and production settings, Meng pairs deep domain knowledge in electrochemistry and physical chemistry with practical coding skills in Python, JavaScript, and SQL. A not-obvious strength is habitually integrating custom DFT tools (including a self-consistent INTERFACE code) into data workflows, enabling higher-throughput, reproducible simulations. This mix of theoretical rigor and engineering pragmatism helps bridge lab-scale understanding and scalable materials informatics.
7 years of coding experience
10 years of employment as a software developer
Bachelor's degree, Chemistry, Bachelor's degree, Chemistry at Northwest University, Xi'an, ChinaDoctor of Philosophy (Ph.D.), Computational/Theoretical Chemistry, 3.74/4.0, Doctor of Philosophy (Ph.D.), Computational/Theoretical Chemistry, 3.74/4.0 at Case Western Reserve University
Chinese, EnglishGithub contributions (5)
mengzhao12/ML_aided_materials_properties_prediction
Apr 2019 - May 2019
Contributions:64 commits, 63 pushes, 1 branch in 1 month
mengzhao12/Capstone_Project1
Jan 2019 - Apr 2019
Contributions:23 pushes, 1 branch in 3 months
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