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Yoontae6719/README.md

π‡πžπ₯π₯𝐨 𝐭𝐑𝐞𝐫𝐞, 𝐟𝐞π₯π₯𝐨𝐰 <πšŒπš˜πšπšŽπš›πšœ/>!

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Yoontae Hwang received my Ph.D. in Industrial Engineering from Ulsan National Institute of Science and Technology (UNIST, Korea) on August 16, 2024. My dissertation, titled "Financial Representation Learning," was completed under the supervision of Yongjae Lee. Click my Website

Recently, I was awarded the Sejong Science Fellowship by the National Research Foundation of Korea. Since September 2024, I have been working as a visiting postdoctoral researcher in Prof. Stefan Zohren's lab at the University of Oxford, where I've been focused on time-series analysis based on deep learning.

I am actively seeking academic positions starting from September 2025, with a focus on my research interests in Deep Learning, Time-series analysis, and Finance. In my future role, I hope to continue exploring the intersection of AI and financial markets, with a particular emphasis on developing more robust predictive models.

Hello World!! πŸ€”

  • πŸ’¬ Ask me about anything an everything.

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  1. Conditional-Portfolio-Construction-For-Retail-Investor Conditional-Portfolio-Construction-For-Retail-Investor Public

    1

  2. Signature-Informed-Transformer-For-Asset-Allocation Signature-Informed-Transformer-For-Asset-Allocation Public

    SIT (Signature-Informed Transformer For Asset Allocation)

    Jupyter Notebook 10 1

  3. Decision-informed-Neural-Networks-with-Large-Language-Model-Integration-for-Portfolio-Optimization Decision-informed-Neural-Networks-with-Large-Language-Model-Integration-for-Portfolio-Optimization Public

    DINN (Decision-informed Neural Networks with Large Language Model Integration for Portfolio Optimization)

    Python 11 2

  4. SimStock-Representation-Model-for-Stock-Similarities SimStock-Representation-Model-for-Stock-Similarities Public

    Official Implementation of SimStock : Representation Model for Stock Similarities

    Jupyter Notebook 85 13

  5. Stop-loss-adjusted-labels Stop-loss-adjusted-labels Public

    Official Implementation of Stop-loss adjusted labels for machine learning-based trading of risky assets

    Jupyter Notebook 18 3

  6. Geodesic-Flow-Kernels-for-Semi-Supervised-Learning-on-Mixed-Variable-Tabular-Dataset Geodesic-Flow-Kernels-for-Semi-Supervised-Learning-on-Mixed-Variable-Tabular-Dataset Public

    Geodesic Flow Kernels for Semi-Supervised Learning on Mixed-Variable Tabular Dataset

    Python 7

0