My research interests lie at the intersection of machine learning, privacy, and large-scale data analysis. I focus on developing and applying techniques in differential privacy to enable secure and efficient distributed model training or inference. 

I am also interested in exploring privacy-preserving approaches in large language models and advancing natural language processing methods for real-world quantitative applications.