Yiwen Wen
Senior Data Science Consultant
Hamburg, Germany
Summary
👤
Senior🎓
Top SchoolYiwen Wen is a Senior Data Science Consultant based in Hamburg with 11 years of experience at the intersection of generative AI, deep learning and large-scale scientific data analysis. With a PhD in Physics and a decade leading ML-driven research at CERN and DESY, she has moved from particle-physics Monte Carlo and detector R&D into building production-grade, trustworthy generative AI systems that combine RAG, fine-tuning, agents and reinforcement learning. She has hands-on experience shipping cloud deployments, synthetic data and knowledge-graph tooling, and led teams to deliver monitoring and evaluation frameworks that reduce LLM hallucination in real-world applications. An automation-minded engineer, she also contributed build and gridpack generation scripts to the high-profile CMS genproductions repo, bridging simulation workflows and ML pipelines. Yiwen blends rigorous experimental-science practice with practical MLOps and product delivery, making her adept at turning complex research into reliable, auditable systems.
11 years of coding experience
4 years of employment as a software developer
Doctor of Philosophy - PhD Physics, Doctor of Philosophy - PhD Physics at University of HamburgMaster's degree Physics, Master's degree Physics at Peking UniversityBachelor of Science - BS Physics, Bachelor of Science - BS Physics at Sun Yat-sen University
English, Chinese, German, Chinese, hakkanese
Stackoverflow
1reputation
0reached
0answers
0questions
Github Skills (8)
configuration-management10
bash10
gridfs10
grid10
scripting10
grids10
python7
cms5
Programming languages (2)
Github contributions (5)
cms-sw/genproductions
Nov 2017 - Oct 2020
Generator fragments for MC production
Role in this project:
Automation Engineer / Build & Release Engineer
Automation Engineer / Build & Release EngineerContributions:39 commits, 14 PRs, 8 comments in 2 years 11 months
Contributions summary:Yiwen primarily worked on modifying build and configuration files related to the MadGraph5_aMCatNLO framework. Their contributions focused on creating and adapting scripts (copy.sh) to generate gridpacks for various mass points within the AToZhToLLTT and BBAToZhToLLTT processes. The changes involved modifying parameters in configuration files and updating mass values across multiple files to streamline the generation of simulation datasets. The user also modified python configuration files to generate WToENu events.
productionfragments
wywdiablo/AZhToLLTauTau
Jun 2020 - Nov 2022
Contributions:12 pushes, 1 branch in 2 years 5 months
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