You-ying Li
RD Engineer at 台灣積體電路製造股份有限公司
New Taipei, Taiwan
Summary
👤
Senior🎓
Top SchoolYou-ying Li is an RD Engineer and former post-doctoral researcher with a decade of experience applying C++, Python, and ML to large-scale experimental physics at CERN and NTU. He has led development and maintenance of key analysis tools (flashgg, bprimeKit) and contributed to the CMS offline software (cmssw) by adapting data-skimming and workflow configurations for 2023 data-taking. His work spans software validation for next-generation detectors, GNN and Transformer-based jet/event classifiers, and practical ML solutions like XGBoost/TMVA for collision-point and photon identification. Comfortable in both backend/devops roles and hands-on detector testing, he bridges low-level data workflows with advanced statistical modeling. International collaborations during multi-year stints at CERN sharpened his ability to translate complex experimental requirements into production-ready analysis pipelines. He combines a PhD in Physics with a pragmatic engineering mindset, making him effective at turning cutting-edge research ideas into robust software for high-energy physics.
10 years of coding experience
4 years of employment as a software developer
博士 物理學系, 博士 物理學系 at National Taiwan University學士 Interdisciplinary Program of Science, 學士 Interdisciplinary Program of Science at National Central University
Chinese, English
Github Skills (8)
experiment10
configuration-management10
cms10
c-language10
cprogramming-language10
python10
data-processing10
cer8
Programming languages (3)
Github contributions (5)
cms-sw/cmssw
Apr 2016 - Nov 2024
CMS Offline Software
Role in this project:
Backend & DevOps Engineer
Backend & DevOps EngineerContributions:10 reviews, 13 PRs, 102 comments in 8 years 8 months
Contributions summary:You-ying primarily contributed to the configuration and maintenance of the CMS offline software, with a focus on data skimming and workflow updates. Their work involved modifying configuration files related to data processing, including autoSkim and relval_standard.py, to align with the 2023 data taking and introducing new workflows, suggesting a role in adapting the software for different data-taking scenarios and release validation.
cmscernweb-appc-plus-plusbackbonejs
ntuhep/bpkUpdate
Feb 2018 - Feb 2025
Contributions:15 pushes in 7 years 1 month
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