I am an undergraduate researcher at Emory University majoring in Applied Mathematics and Statistics. I am honored to be advised by Dr. Ruoxuan Xiong. My work explores the intersection of machine learning, causal inference, and multimodal data systems: ranging from intelligent transportation forecasting to interpretable reasoning in large language models. I am particularly interested in how data-driven methods can be made more robust, explainable, and equitable in real-world decision-making.

Beyond research, I co-founded the Emory Artificial Intelligence and Data Association, where I lead initiatives bridging academic insight with practical impact. I am motivated by a curiosity for how mathematical structures and computational models reveal patterns in complex systems—whether in traffic networks, clinical records, or algorithms themselves.