People / Students / Class of 2026
I graduated from the University of California, Santa Barbara with B.S. in Statistics & Data Science and Applied Mathematics, where I developed a strong foundation in machine learning, statistical modeling, and large-scale data analysis. My research spans applied AI and computational linguistics, from building advanced workflow automation systems with LangChain and Retrieval-Augmented Generation to designing deep learning pipelines for bee species identification that support biodiversity and conservation efforts. I have also co-authored work on emotional idiom processing, integrating large language models with psycholinguistic experiments. Professionally, I have served as a Machine Learning Engineer at Xin Yi Tech and Correkt, where I developed face recognition, fact-checking, and retrieval-based AI systems, as well as authored an IEEE Access publication on generative music models. I am now pursuing graduate studies in Machine Learning and Data Science at Northwestern University, where I aim to advance my expertise in scalable AI systems and their real-world applications
