2025 COHORT
Siyu Liang is a Financial Engineering graduate with a strong quantitative background and expertise in risk management, portfolio optimization, and financial data analysis. She is currently pursuing an MS in Quantitative Finance and Risk Management at the University of Michigan (expected 2027). Siyu has hands-on experience in developing quantitative models, performing statistical and time-series analyses, and conducting market and ESG research through internships at the Shenzhen Institute of Data Economy and Shenzhen Trony New Energy Tech. She is proficient in Python, R, C++, MATLAB, STATA, and SQL, and has applied these skills to projects in portfolio hedging, real estate price prediction, and natural gas consumption forecasting. Recognized for academic excellence with multiple Dean’s List honors, Siyu combines strong analytical skills with practical experience in finance and data-driven research.