Skip to content
View runqi-allen-wang's full-sized avatar
🤩
🤩
23 followers · 51 following

Achievements

Achievement: StarstruckAchievement: Pull Sharkx2Achievement: Pair ExtraordinaireAchievement: YOLOAchievement: Quickdraw

Achievements

Achievement: StarstruckAchievement: Pull Sharkx2Achievement: Pair ExtraordinaireAchievement: YOLOAchievement: Quickdraw

Highlights

  • Pro

Block or report runqi-allen-wang

Block user

Prevent this user from interacting with your repositories and sending you notifications. Learn more about blocking users.

You must be logged in to block users.

Content in all repositories owned by your account will be closed.
Maximum 250 characters. Please don’t include any personal information such as legal names or email addresses. Markdown is supported. This note will only be visible to you.
Report abuse

Contact GitHub support about this user’s behavior. Learn more about reporting abuse.

Report abuse
runqi-allen-wang/README.md

Google Scholar ORCID OpenReview GitHub Kaggle LinkedIn Bilibili Zhihu Xiaohongshu

👋 Profile

My name is Runqi (Allen) Wang | 王润祺. I am currently a third-year undergraduate student at the School of Mathematical Sciences, Shanghai Jiao Tong University, pursuing a double major in Mathematics and Applied Mathematics and Artificial Intelligence.

  • 🔍 Interest: Machine Learning, Quantitative Finance, Agentic AI
  • 📬 Contact: 📧 allen-w@sjtu.edu.cn (prefer) | runqiwang777@gmail.com
  • 💻 Skills: Python, C++, MATLAB, R | Git, LaTeX, Anaconda, Linux, Lean | HTML, CSS, JavaScript

​​​​Click here, and go to my homepage. ​​

Pinned Loading

  1. TRACER-Typed-Repair-Agent-with-Compiler-validated-Example-Retrieval TRACER-Typed-Repair-Agent-with-Compiler-validated-Example-Retrieval Public

    TRACER is a research toolkit for Lean 4 proof repair, failure reproduction, and evaluation.

    Lean 47 7

  2. AlphaLens-A-Lightweight-Skill-based-Framework-for-Quantitative-Research-Analysis AlphaLens-A-Lightweight-Skill-based-Framework-for-Quantitative-Research-Analysis Public

    AlphaLens: A Quantitative Research Intelligence Framework for Extracting Alpha from Financial Research.

    31

  3. Deep-Sequential-Models-for-Cross-Sectional-Stock-Selection Deep-Sequential-Models-for-Cross-Sectional-Stock-Selection Public

    Deep learning models for cross-sectional stock selection, including feature engineering, rank-label learning, chronological validation, and transaction-cost-aware backtesting.

    Python 33 1

  4. Academic-Homepage-Template-by-Runqi Academic-Homepage-Template-by-Runqi Public

    A polished, configuration-driven academic homepage for GitHub Pages. It uses plain HTML, CSS, JavaScript, YAML, and Markdown—no package manager or build step required.

    CSS 29