About Me
I am an undergraduate studying Computer Science at the University of California, Los Angeles.
This summer I'm a software development intern at Amazon. I also do research in LLM safety as part of UCLA's CompML lab. Previously, I worked on privacy-preserving machine learning as a Non-trivial fellow and modeled Monte-Carlo simulations for drug discovery functional screening at the Paegal Lab.
Contact Me
See what I'm up to on Twitter. Check out my projects here.
You can access my email here.
Coursework
Fall 2024:
ECE231A: Information Theory*
CS180: Algorithms
CS35L: Software Construction
CS33: Introduction to Computer Organization
Spring 2024:
ECE231E: Channel Coding Theory*
ECE239AS: Advanced Neural Networks and Deep Learning*
PHIL128: Philosophy of Computation
PHIL133C: Philosophy of Statistics
Winter 2024:
ECEC147: Neural Networks and Deep Learning
CSM146: Machine Learning
ECE131A: Probability and Statistics
ECE149: Foundations of Computer Vision
PHIL31: Logic
Fall 2023:
ECE133A: Applied Numerical Computing
MATH33B: Differential Equations
MATH61: Discrete Structures
CS32: Introduction to Computer Science II
CSM51A: Digital Logic Design
* indicates graduate level courseWebsite inspired by Dexter Chua