Xinyuan Lai

Product Engineer at Lam Research

New York City Metropolitan Area United States
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Summary

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Senior
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Top School
Xinyuan Lai is a Product Engineer with a PhD in Condensed Matter and Materials Physics and eight years of hands-on experience in nanofabrication, cryogenic measurement, and instrument design. He built and operated a UHV Helium-3 cryogenic STM system, designed twisted bilayer graphene devices, and performed low-temperature STM and high-field measurements while managing data pipelines using Python and SQL. Transitioning from academia at Rutgers to product engineering at Lam Research in NYC, he combines deep experimental physics skills with practical troubleshooting and systems integration experience. Known for clear technical communication and training, he bridges device fabrication, measurement automation, and data analysis to drive reproducible, production-ready workflows.
code8 years of coding experience
job7 years of employment as a software developer
bookDoctor of Philosophy - PhD, Condensed Matter and Materials Physics, 3.6, Doctor of Philosophy - PhD, Condensed Matter and Materials Physics, 3.6 at Rutgers University–New Brunswick
bookBachelor of Science - BS, Physics, 3.6, Bachelor of Science - BS, Physics, 3.6 at Rutgers University-New Brunswick
bookChemistry, Chemistry at Xiamen University
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Github Skills (11)

statistics9
machine-learning8
python8
data-science7
data-analysis7
scikit-learn6
scikit5
evaluation3
sherlock2
deep-learning2
semantic1

Programming languages (4)

CSSScalaJupyter NotebookPython

Github contributions (5)

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idsla/FedImpute

Jun 2024 - Mar 2025

FedImpute is a benchmarking and evaluation tool to assess the effectiveness of federated imputation across various missing data scenarios.
Contributions:7 PRs, 92 pushes, 6 branches in 9 months
Contributions:102 pushes, 2 branches in 1 year
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Xinyuan Lai - Product Engineer at Lam Research