Wen Guan
Senior Scientist at University of Wisconsin-Madison
Greater Chambery Area France
Summary
👤
Senior🎓
Top SchoolWen Guan is a Senior Scientist and software engineer with 12 years of experience building distributed data and compute systems for large-scale research environments. With a PhD in Computing Application (Grid Computing), Wen has led grid, cluster and cloud efforts at CERN and the University of Wisconsin-Madison, managing multi‑PB storage and multi‑thousand CPU sites while contributing to physics data production. He combines deep ML and deep learning practice (TensorFlow, PyTorch, Keras, BDTs) with hands-on systems work—implementing SRM protocol support and gfal2 bindings for the prominent Rucio scientific data management project. Wen’s background spans both operational dataOps (ProdAgent, PhEDEx) and research-forward innovations like quantum machine learning using Qiskit and Cirq, making him fluent at turning experimental models into production workflows. Based in the Greater Chambéry area, he is a versatile engineer who bridges the gap between scientific research and robust, scalable infrastructure.
12 years of coding experience
6 years of employment as a software developer
Bachelor's degree of Management Information System, Management Information System, Bachelor's degree of Management Information System, Management Information System at Beijing Information and Technology University, Beijing, ChinaPhD Degree, Computing Application with major in Grid Computing, PhD Degree, Computing Application with major in Grid Computing at Institute of High Energy Physics(IHEP), Beijing, China
Stackoverflow
1reputation
0reached
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Github Skills (4)
python10
distributed-systems9
data-management9
storage9
Programming languages (10)
Github contributions (5)
rucio/rucio
Feb 2014 - Sep 2018
Rucio - Scientific Data Management
Role in this project:
Back-end Developer
Back-end DeveloperContributions:245 commits, 3 PRs, 3 comments in 4 years 7 months
Contributions summary:Wen contributed to core backend functionalities. These contributions involved implementing the SRM protocol and a corresponding test case utilizing the LCG interface. The user implemented the gfal2 python binding, which tested the srm interface, and also modified the gfal2 protocol. The user also developed the function for get space usage using gfal2.
heterogeneous-systemsdata-managementsciencescientific-data-managementdistributed-systems
wguanicedew/panda-k8s-pandawms
Jun 2022 - Apr 2025
Contributions:6 releases, 13 PRs, 309 pushes in 2 years 10 months
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