Hanzhang (Helena) Jiang graduated from Cornell University with double majors in Mathematics and Economics. During her undergraduate studies, she developed a keen interest in mathematical models and machine learning, undertaking multiple interdisciplinary projects. Her passion for using quantitative methods to address financial problems led her to an internship at Shenwan Hongyuan Securities. She initiated a project utilizing ChatGPT for sentiment analysis in stock market forecasting and conducted research on high-frequency trading data to identify influential factors. Helena is enthusiastic about integrating AI into the financial market to enhance decision-making processes. She also loves poker, drawing parallels between data analysis and game strategy. Helena joined the MSCF program to further her expertise in quantitative finance, aiming to pursue a career in quantitative research, quantitative trading, or portfolio management.