Summary
Li Ye is a graduate student and experimental physicist with 11 years of experience applying data analysis, statistical inference, and Monte Carlo simulation to large-scale detector experiments. Based at Jefferson Lab, Li has processed and cleaned multi-terabyte datasets, improved simulation and fitting methods to reach 1% agreement with theoretical cross sections, and applied machine learning to reduce cosmic background. Proficient in C++ and familiar with Python and ML toolchains, Li combines big-picture experiment design with meticulous hands-on signal extraction and uncertainty quantification. A quick learner and strong communicator, Li thrives in collaborative teams and sustained multi-year experiments, bringing both domain expertise in particle/ nuclear physics and practical software engineering skills to bridge analysis and instrumentation.
11 years of coding experience
Master's degree, Elementary Particle Physics, Master's degree, Elementary Particle Physics at China Institute of Atomic Energy
Bachelor's degree, Physics, Bachelor's degree, Physics at Jilin University
Doctor of Philosophy - PhD, Physics, Doctor of Philosophy - PhD, Physics at Mississippi State University
English, Chinese