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hgnzheng/README.md

Hi 👋, I'm Hargen Zheng

Aspiring Machine Learning Engineer | Researcher

I am a sophomore at University of California, San Diego, double majoring in Data Science and Mathematics-Computer Science.
I am interested in Artificial Intelligence and Machine Learning,
especially in Computer Vision and Optimization techniques.

GmailGmail

  • ⚒️ I’m currently serving as a project lead for a Facial Emotion Recognition project under Data Science Student Society (DS3) at UC San Diego.

  • 🧠 During 2023-24 Academic Year, I'm working on a research project "Pattern Analysis on EEG Data for Enhanced Depression Diagnosis" under the mentorship of Justin Eldridge.

  • 👨‍💻 My personal website is available at https://hgnzheng.github.io/.

  • 📫 How to reach me: hgzheng@ucsd.edu or hargen.zheng@berkeley.edu.

  • 🪀 Fun fact: I have been playing Yo-Yo since December, 2014 and I have won several regional championships.

💻 Tech Stack

PyTorch scikit-learn TensorFlow Java C C++ Open CV HTML5

🔨 Development Tools

MacOS Apple PyCharm Visual Studio Code colab Ubuntu

📌 How to Get in Touch

  • Email:
    • My personal email is hargen.zheng@gmail.com.
    • My academic emails are listed above.
  • Github: Click here to leave an issue. If you are contacting me about a project, please leave an issue in the relevant project repository.
  • LinkedIn: Click here to connect and message me.
More Information.

Places I've Studied:

  • Hangzhou Foreign Languages School -- Hangzhou, China (2019.09 - 2022.06)
  • Stanford Pre-Collegiate Studies (2022.06 - 2022.08)
  • University of California, Berkeley (2023.06 - 2023.08)
  • University of California, San Diego (2022.08 - Current)

Relevant Coursework

  • Basic Math: Linear Algebra, Multi-variable Calculus, Differential Equations, Vector Calculus, Discrete Mathematics, Mathematics for Algorithms and Systems
  • More Math: Intro to Probability, Intro to Stochastic Processes, Concepts of Statistics (@Berkeley), Optimization Methods for Data Science I/II
  • Computer Science: Basic Data Structures and Object-Oriented Design, Software Tools and Techniques Laboratory, Computer Organization and Systems Programming, Design and Analysis of Algorithms
  • Data Science: Principles of Data Science, Programming and Basic Data Structures for Data Science, Theoretical Foundations of Data Science
  • Machine Learning Specific: Intro to Artificial Intelligence (@Berkeley), Recommender Systems and Web Mining, Principles of Machine Learning: Learning Algorithms, Deep Learning, Intro to Computer Vision

Pinned

  1. acmucsd-projects/Team-TBD acmucsd-projects/Team-TBD Public

    Project Repository for ACM AI

    Jupyter Notebook 3

  2. CS230_Stanford CS230_Stanford Public

    This repository contains course materials for CS 230 - Deep Learning @ Stanford (Autumn 2018).

    Jupyter Notebook

  3. CSE158-UCSD CSE158-UCSD Public

    This repository contains course materials of CSE 158 - Recommender Systems and Web Mining @ UC San Diego (Fall 2023).

    Jupyter Notebook 1

  4. CS229_Stanford CS229_Stanford Public

    This repository contains course materials for CS 229 - Machine Learning @ Stanford (Autumn 2018).

    Jupyter Notebook