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.
-
โ๏ธ Iโm currently serving as a project lead for a Facial Emotion Recognition project under Data Science Student Society (DS3) at UC San Diego.
-
๐ง 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.
-
๐จโ๐ป My personal website is available at https://hgnzheng.github.io/.
-
๐ซ How to reach me: [email protected] or [email protected].
-
๐ช Fun fact: I have been playing Yo-Yo since December, 2014 and I have won several regional championships.
- Email:
- My personal email is
[email protected]
. - My academic emails are listed above.
- My personal email is
- 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.
- 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)
- 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