Lawrence Ng
Research Software Engineer At Princeton AI Lab at Princeton University
New Jersey, United States
Summary
👤
Senior🎓
Top SchoolLawrence Ng is a research software engineer and physicist with a decade of experience building high-performance analysis tools for large-scale physics data using C++, Python, and Linux. He combines deep expertise in scientific Python (JAX, PyTorch, NumPy, pandas) with advanced statistical methods—Information Field Theory, MCMC, maximum likelihood, normalizing flows, and explainable AI—to produce robust, interpretable results. Currently affiliated with Princeton AI Lab and Jefferson Lab after a PhD and graduate research at Florida State, he has led cross-functional analysis groups of six-plus researchers for over a year. Lawrence’s skill set spans from low-level performance engineering to modern ML workflows and hyperparameter optimization, and he frames physics problems through statistical rigor and creative model selection. An observant physicist by training, he applies tools from both theory and ML to reveal subtle signals in noisy experimental data.
10 years of coding experience
7 years of employment as a software developer
Doctor of Philosophy - PhD Physics, Doctor of Philosophy - PhD Physics at Florida State UniversityBachelor's degree Physics, Bachelor's degree Physics at University of Connecticut
Chinese, English
Github Skills (18)
physics6
statistics6
mathematics6
interpreter5
python5
geometry5
visualization5
simulation5
parallel4
machine-learning4
data-analysis4
conda2
big-data2
particle-physics2
particle2
Programming languages (5)
Github contributions (5)
lan13005/EtaPi-Analysis
Jun 2022 - Nov 2022
Contributions:43 commits, 54 pushes, 1 branch in 5 months
lan13005/PyAmpTools
Oct 2023 - Oct 2025
Contributions:12 PRs, 310 pushes, 17 branches in 2 years 1 month
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