Shiwen XIA
Quantitative Researcher
Paris, Ile-de-France
Summary
👤
Senior🎓
Top SchoolShiwen XIA is a quantitative researcher based in Paris with nine years of experience applying deep learning and statistical methods to alpha research at Qube Research & Technologies. Trained at ENSAE, École Polytechnique and Université Paris-Saclay (MVA), he blends a physics foundation from Nanjing University with rigorous statistics and machine learning expertise. His work spans NLP and computer-vision–informed models, with early industry experience building and testing production-ready ML pipelines during internships at Société Générale and Saint-Gobain. Comfortable in Python and focused on AI-driven signal discovery, he combines research rigor with practical implementation to move models from prototype to trading-grade systems.
9 years of coding experience
1 year of employment as a software developer
Engineer's degree, Statistics, Engineer's degree, Statistics at ENSAE ParisBachelor of Science - BS, Physics, Bachelor of Science - BS, Physics at Nanjing UniversityEngineer's degree, Computer Science - Data Science, Engineer's degree, Computer Science - Data Science at École PolytechniqueMaster of Science - MS, Mathématiques, Vision, Apprentissage (MVA), Master of Science - MS, Mathématiques, Vision, Apprentissage (MVA) at Université Paris-Saclay
Chinese, English, French
Github Skills (52)
python10
machine-learning9
tensorflow9
deep-learning9
neural-network8
data-science8
jekyll7
ml7
css7
ide7
deep-neural-networks7
anaconda6
jekyll-theme6
language-server-protocol6
development-environment5
Programming languages (4)
Github contributions (5)
svenhsia/document-topic-prediction
Aug 2017 - Jun 2018
Contributions:16 commits, 11 pushes, 1 branch in 10 months
svenhsia/Entropic-Wasserstein-Embedding
Apr 2019 - Oct 2019
Contributions:30 commits, 2 pushes in 5 months
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