I graduated from Boston College with majors in Economics and Mathematics, where I developed a strong foundation in probability, statistics, and machine learning. I am drawn to quantitative research because it combines the mathematical structure with the real-world uncertainty that makes financial markets challenging. Through research, academic projects, and internship experiences, I have strengthened my skills in Python, data analysis, statistical modeling, and working with large, complex datasets. At Siye Investment, I developed an XGBoost-based strategy for CSI 300 index futures. My academic research also involved applying NLP and fuzzy matching to improve company-level identification. A little fun fact about me: I am attending the bartending school. Once I get the certificate, I would be happy to invite you and make you a drink! I welcome opportunities to connect with industry professionals and discuss how my analytical background and perspective could contribute to their teams. At MSCF, I hope to deepen my expertise in quantitative research and machine learning.
