Short Bio
I am currently an M.S. student in computer science at Stony Brook University, where I also completed my B.S. in the same field. My undergraduate specialization is in Artificial Intelligence and Data Science, and broadly my research interests are AI, Machine Learning, and Quantitative Finance.
Research
My research focuses on applying machine learning and NLP techniques across diverse domains including quantitative finance, electrical engineering, and molecular biology. As an undergraduate, I worked with Dr. Gilchan Park at Brookhaven National Laboratory, exploring how large language models (LLMs) can enhance our understanding of protein interactions. Currently, under the guidance of Professors Pawel Polak and Yifan Sun, I'm investigating machine learning applications in quantitative finance, and exploring the use of time-series foundation models for asset pricing.
