Yale Xie

Yale University · New Haven, CT

YaleXie

Portrait of Yale Xie

About

Hello! I'm Yale Xie, and I'm a freshman studying Computer Science and Mathematics at Yale College.

If you’re wondering, I wasn’t named after the school; Yale is actually a phonetic spelling of my traditional Chinese name, pronounced “yah-luh”. On campus, I organize YHack, Yale’s premier hackathon, and serve on the Yale College Council’s Tech Division, where I help shape Yale’s tech policy and host events that showcase Yale’s growing tech scene. In my spare time, I play poker at the Yale Poker Club, compete in ping-pong intramurals, and participate in Yale’s vibrant music scene. Some things I’m currently curious about are AI supply chains, computational neuroscience, and prediction markets.

Selected Projects

Yale Events

Aggregates 21 Yale event calendars into one central feed, with filters, acronym-aware search, and subscribable iCal feeds that auto-update.

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EDGAR Intelligence

A full-stack RAG application for asking plain-English questions about SEC filings from 13 major tech companies, with answers cited to the source passage, form, and filing date.

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Experience

  1. Aug 2025 – May 2026

    Teaching Assistant

    Liberal Arts and Science Academy · Austin, TX

    • Provided technical feedback on methodologies and analyses to 30+ students in Bayesian data science projects.
    • Engineered supplementary code demonstrations to improve the rigor and clarity of instructional materials.

  2. Jun 2025 – Aug 2025

    Quantitative Research Intern

    The Cake Shop Capital · Boston, MA

    • Co-developed a GPT-4o-based NLP pipeline to extract and quantify legal risk changes across sequential SEC 10-K and 10-Q filings, creating an investment signal with a 51.4% backtested cumulative return between 2020 and 2025.
    • Backtested the trading signal in Python across multiple risk metrics (Fama-French regression, Sharpe ratio, volatility, win/loss ratio), confirming 5.8% annualized statistically significant alpha at 6% annualized volatility.

  3. Feb 2025 – Jul 2025

    Research Intern

    Davidson College · Remote

    • Built and optimized a statistical model in Python with Bayesian Additive Regression Trees (BART) to assess the relative importance of the Fama-French factors in U.S. large-cap equity returns.
    • Achieved an R² of 0.87 versus 0.22 for the OLS baseline, demonstrating the model’s ability to capture nonlinear relationships and interactions among factors.
    • Authored a peer-reviewed research article published in the Pioneer Research Journal.

  4. Feb 2025 – Jul 2025

    Data Analytics Intern

    Kelleher Consulting Group · Remote

    • Analyzed IPEDS data using Pandas, NumPy, and Matplotlib to size and segment target markets for WorldQuant University’s go-to-market strategy.
    • Benchmarked competing data-science education products using capability matrices and presented positioning recommendations to the executive team.

Contact

Feel free to reach out!