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.

⚒️ 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: [email protected] or [email protected].
🪀 Fun fact: I have been playing Yo-Yo since December, 2014 and I have won several regional championships.

💻 Tech Stack

🔨 Development Tools

📌 How to Get in Touch

Email:
- My personal email is [email protected].
- 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

Hargen Z.'s Projects

cs229_stanford

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

cs230_stanford

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

cse158-assignment_2

This repository contains our team's Assignment 2 work for CSE 158 - Recommender Systems and Web Mining @ UC San Diego (Fall 2023).

cse158-ucsd

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

fast.ai-numerical-linear-algebra

This repository contains course materials for the fast.ai Computational Linear Algebra course, first taught as a part of the University of San Francisco's Master of Science in Analytics program.