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HeesunPark26/README.md

👋 Hi, I’m Heesun Park.

I'm working as a data scientist at Wellysis. I used to study human decision-making using computational modeling and neuroimaging techniques.

  • 👀 I'm interested in applying statistics and machine learning to healthcare services.

  • I usually use Python, R, and SQL for data extraction, preprocessing, manipulation, analysis, and visualization.

  • 📫 How to reach me: LinkedIn

  • Are you interested in my repos?

    • deep_learning_models_implementation: repo including deep learning models that I implemented from scratch.
    • project_WMDM_public: analysis code and data for my first-author manuscript. "The neurocognitive role of working memory load when Pavlovian motivational control affects instrumental learning". You can find R codes for data analysis and cognitive modeling, and related modeling codes. preprint
    • Meta-d_STAN: the Stan codes of Meta-d' model. I implemented the meta-d' model using Stan, referring the paper and model code implemented in different modeling language. For the detail, check the repo!

Pinned

  1. deep_learning_models_implementation deep_learning_models_implementation Public

    Python

  2. CCS-Lab/project_WMDM_public CCS-Lab/project_WMDM_public Public

    MATLAB

  3. Meta-d_STAN Meta-d_STAN Public

    The Stan codes of Meta-d' Model

    Stan

  4. CCS-Lab/hBayesDM CCS-Lab/hBayesDM Public

    Hierarchical Bayesian modeling of RLDM tasks, using R & Python

    TeX 212 114