Machine Learning · AI for Science · Large Language Model
- MSc student in Statistics at Western University, Canada
- BSc in Computer Science, GPA 4.0/5.0 (Rank 1/129), Shanghai Institute of Technology
- Research interests: Machine Learning, LLM, AI for Science, NLP
- Experience in astronomical data analysis, ML algorithm optimization, and traffic-flow modeling
- Passionate about building practical ML tools and contributing to open-source education
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J-plus: A catalogue of globular cluster candidates around the M81/M82/NGC3077 triplet of galaxies
Monthly Notices of the Royal Astronomical Society -
A fast QR-based Principal Component Analysis implementation via torch
Astronomy and Computing · Code -
Yonder: A python package for data denoising and reconstruction
Research Notes of the AAS · Code
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Hello-Algo – Open-source tutorial for data structures & algorithms
- Designed Python examples and explanations for beginners
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labml.ai – Annotated Deep Learning Paper Implementations
- Improved documentation and Chinese translation to help more people learn from classic DL papers
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DataWhale – Open-source AI learning community
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QRPCA – Fast QR-based PCA in PyTorch
- Implements QR-based PCA for large-scale data; used in astronomical data analysis
- Repo: github.com/pengchzn/QRPCA
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Yonder – Data denoising and reconstruction toolkit
- Python package for denoising and dimensionality reduction of scientific data
- Repo: github.com/pengchzn/Yonder
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Algorithm Engineer · JSTI Group Limited
Oct 2024 – May 2025 · Shanghai
Built predictive models for highway traffic flow under high passenger load and designed a 3-stage balancing strategy (upstream diversion, midstream control, downstream discharge). -
Visiting Scholar · Shanghai Astronomical Observatory, CAS
Jul 2021 – Jun 2022 · Shanghai
Applied statistical learning to discover new stellar associations; developed QRPCA and Yonder for efficient scientific data analysis.
