Xuefeng Xu
Visiting Doctoral Researcher at University of Warwick - Department of Computer Science
Coventry, England, United Kingdom
Summary
🤩
Rockstar🎓
Top SchoolXuefeng Xu is a PhD-level privacy and machine learning researcher and engineer with six years of hands-on experience building privacy-preserving systems and improving core ML libraries. Currently a Visiting Doctoral Researcher at the University of Helsinki and Senior Graduate Teaching Assistant at Warwick, he blends academic rigor with production-focused engineering. His work at PrimiHub contributed backend fixes and metrics improvements to an open-source privacy-computing platform supporting MPC and federated learning, while contributions to scikit-learn and SciPy targeted encoder bugs, numerical stability, and performance. Comfortable across cryptography-informed privacy engineering and classical ML tooling, he has a track record of shipping reliable bug fixes and documentation that benefit broad open-source communities. Trained in cyberspace security (MEng) and communication engineering (BE), he brings a systems-first mindset to privacy × ML problems. Colleagues appreciate that he pairs meticulous numerical debugging with a surprising sense of humor (probably a duck).
6 years of coding experience
2 years of employment as a software developer
Master of Engineering - MEng Cyberspace Security, Master of Engineering - MEng Cyberspace Security at Beihang UniversityDoctor of Philosophy - PhD Computer Science, Doctor of Philosophy - PhD Computer Science at University of WarwickBachelor of Engineering - BE Communication Engineering, Bachelor of Engineering - BE Communication Engineering at Jilin University
English, Chinese
Github Skills (23)
algorithms10
scipy10
numerical10
python10
scikit10
machine-learning10
numpy10
numerics10
statistical-models10
numerical-methods10
scikit-learn10
stability10
logistic-regression10
numeric10
scientific-computing10
Programming languages (7)
Github contributions (5)
primihub/primihub
Jan 2023 - Jan 2023
Privacy-Preserving Computing Platform 由密码学专家团队打造的开源隐私计算平台，支持多方安全计算、联邦学习、隐私求交、匿踪查询等。
Role in this project:
Back-end Developer
Back-end DeveloperContributions:56 reviews, 20 commits, 196 PRs in 13 days
Contributions summary:Xuefeng primarily worked on updating the dataset and fixing a typo related to AUC (Area Under the Curve) in the Hetero XGB example. Additionally, the user made changes in the homo_lr.py file, adding metrics logging and addressing various bugs. The user also appears to have made improvements to the homo_lr_base.py and fixed a bug in homo lr inference.
partyprivate-set-intersectionmpcpsipir
scikit-learn/scikit-learn
Jan 2023 - Feb 2025
scikit-learn: machine learning in Python
Role in this project:Data Scientist
Data ScientistContributions:12 reviews, 16 PRs, 49 comments in 2 years 1 month
Contributions summary:Xuefeng primarily contributed to bug fixes and documentation improvements within the scikit-learn library. They corrected errors in the `OrdinalEncoder`, `OneHotEncoder`, and `KBinsDiscretizer` components. They also added and corrected documentation, including references and descriptions for several transformers and the `KNNImputer` module. Additionally, the user improved the efficiency of the `QuantileTransformer` and other encoders.
data-analysispythonstatisticsdata-sciencelearn-machine-learning
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