As a Master of Financial Engineering candidate at UCLA, I bring a strong foundation in quantitative finance, trading strategies, and macroeconomic analysis. With a dual-degree background in Computer Science and Political Science from Washington University in St. Louis, I blend technical expertise with a strategic mindset to solve complex financial problems.My professional experiences include founding and leading a quantitative trading startup, conducting in-depth treasury bond analysis at Rebellion Research, and applying machine learning techniques to event-driven strategies at GF Securities. These roles have honed my skills in data analysis, programming (Python, R, SQL), and developing robust financial models.I am passionate about leveraging my analytical skills and creativity to uncover market opportunities, improve risk management, and contribute to innovative financial solutions. Whether it’s designing systematic trading strategies or collaborating with cross-functional teams, I thrive in dynamic environments that demand both precision and adaptability.Beyond finance, I’m an avid sports enthusiast, powerlifter, and painter, balancing a commitment to personal growth with professional development. Let’s connect to share ideas, explore opportunities, or collaborate on impactful projects!