Changjie (Angel) Wu is a well-rounded innovator dedicated to excellence in all aspects. She graduated from New York University with a major in Computer Science, Mathematics, and Economics, and a minor in Business Studies. Her academic journey, enriched by five internships across different sectors of Finance industry, theoretical research, and projects in machine learning and software engineering, has equipped her with a comprehensive skill set to tackle challenges in fast-paced environments with creative and effective solutions. During her quantitative trading internship at a leading asset management firm, Angel assisted in develop a VBA-powered Excel trading simulator for strategy testing, which successfully identified a profitable trade. Additionally, leveraging her engagement with research forums, she enhanced LSTM neural networks for stock trend forecasting by integrating DoubleAdapt, a cutting-edge meta-learning technique, thereby improving the information coefficient. As a Chinese girl who lived in India for seven years, Angel's multicultural background has honed her skills as an effective communicator, team player, and strong leader. She demonstrates persistence in her diverse interests, including over 15 years of experience in piano and dancing, a passion for Sudoku, and proficiency in multiple languages. Angel has enrolled in the MSCF program to advance her career a quantitative trader, strategist, or researcher.