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cty20010831/README.md

Hey 👋, I'm Sam Cong!

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I am a second-year student in the MACSS program at the University of Chicago, passionate about using cognitive modeling 🧠 to better understand mental processes in individuals with and without mental disorders. My research focuses on developing multi-modal, real-world frameworks in computational psychiatry that integrate diverse data streams—such as real-time inputs from wearables, smartphones, and behavioral monitoring—to continuously track mental and cognitive changes across different timescales. Through these models, I aim to bridge the gap between theoretical insights and practical clinical applications, empowering clinicians with tools for dynamic diagnostics and personalized treatment strategies.

In parallel, I explore how people make decisions ⚖️ by incorporating reinforcement learning and sequential sampling models. This line of research seeks to develop AI-powered diagnostic and therapeutic methodologies 🩺, advancing mental health care beyond traditional psychological assessments.

Additionally, I study human creativity ✨ by building cognitive models such as compositional stroke embedding for drawing and NLP-based methods for narrative analysis. This work helps uncover the underlying cognitive processes behind creative expression, which, in turn, offers new perspectives on mental health and well-being.

By connecting these threads, my goal is to develop comprehensive frameworks that advance both the understanding of cognition and the practical delivery of mental health care, combining insights from creativity, decision-making, and psychiatric modeling into meaningful, real-world applications.

🧐 More About Me:

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  • 💪   I’m now preparing for the upcoming PhD application cycle;
  • 🤝   Welcome collaboration on research projects studying creativity, decision-making, & computational psychiatry;
  • 🌱   I’m now honing web development & deep learning skills;
  • 👨🏻‍💻   Most of my projects are available on Github;
  • 📫   Feel free to ping me on LinkedIn;
  • 📝   Checkout my CV;
  • 🌐   Discover more about me on my personal website;
  • 📚   During my spare time, I enjoy 🎱, 🏀, 🥾, and 📸.

🔨 Languages and Tools:

💻 Programming Languages

python       R       matlab       stan       mysql       sqlite       git      

🤖 AI & Machine Learning Tools

tensorflow       pytorch       opencv       spaCy       scikit_learn      

📊 Data Science Libraries

NumPy       SciPy       pandas       seaborn       Matplotlib      

☁️ Big Data, High Performance Computing, and Cloud Computing

Cython       Apache Spark       Dask       aws      

📋 Productivity Tools

Microsoft Office       Obsidian       Visual Studio Code       Sublime Text       photoshop       lightroom

📊 GitHub Stats

cty20010831

 cty20010831

 GitHub Streak Stats

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  1. cose cose Public

    Forked from eth-ait/cose

    JavaScript

  2. final-project-scrapers final-project-scrapers Public

    Forked from macs30122-winter24/final-project-scrapers

    This is the final project that examines the effect of NSF funding on academic output of awarded authors, where I collaborated with Guankun Li, Jiazhen Li, and Yanwei Wu.

    Jupyter Notebook

  3. incomplete_drawing_task incomplete_drawing_task Public

    This repository stores the JsPsych code for setting up the experiment for my MA thesis at UChicago.

    JavaScript

  4. MACS_30123_final-project-les-deux-mousquetaires MACS_30123_final-project-les-deux-mousquetaires Public

    Forked from macs30123-s24/final-project-les-deux-mousquetaires

    Final Group Project for MACS_30123 High Performance Computing

    Jupyter Notebook

  5. Stop_Signal_Model_Fitting Stop_Signal_Model_Fitting Public

    This repository contains code for a project to use pymc/hssm package to fit stop signal test data.

    Jupyter Notebook

  6. personal_site personal_site Public

    Forked from mldangelo/personal-site

    This is my personal website.

    SCSS