Xinyuan Lai
Senior Process Engineer at Ligent
New York City Metropolitan Area United States
Summary
👤
Senior🎓
Top SchoolXinyuan 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.
8 years of coding experience
9 years of employment as a software developer
Doctor of Philosophy - PhD Condensed Matter and Materials Physics, Doctor of Philosophy - PhD Condensed Matter and Materials Physics at Rutgers University–New BrunswickChemistry, Chemistry at Xiamen UniversityBachelor of Science - BS Physics, Bachelor of Science - BS Physics at Rutgers University
Github Skills (20)
python8
statistics8
data-science7
machine-learning7
data-analysis7
scikit-learn5
imputation2
r-package2
evaluation2
sherlock2
deep-learning2
inference1
gradient-boosting1
algorithm1
xgboost1
Programming languages (5)
Github contributions (5)
idsla/FedImpute
Jun 2024 - Apr 2026
FedImpute is a benchmarking and evaluation tool to assess the effectiveness of federated imputation across various missing data scenarios.
Contributions:7 PRs, 117 pushes, 6 branches in 1 year 10 months
sitaomin1994/federated_imputation
Dec 2023 - Dec 2024
Contributions:102 pushes, 2 branches in 1 year
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