Overview

As a Research Assistant at USC, I conducted cutting-edge research on privacy-preserving techniques for large language models. My work focused on enabling the benefits of powerful LLMs while protecting sensitive training data.

Research Focus: Privacy-Preserving Knowledge Distillation

The …

Overview

Built and compared machine learning models for automated hate speech detection on social media, implementing both traditional ML approaches and state-of-the-art transformer models.

Problem Statement

Hate speech on social media platforms:

• Harms targeted individuals and communities
• Spreads …

Overview

At Guangfa Futures, one of China’s leading futures brokerage firms, I worked as a Quantitative Analyst Intern. My role involved applying statistical and machine learning techniques to identify patterns in futures markets and support trading strategy decisions.

Key Projects

Predictive …