I began my quant path as an intern at Point72. There, I conducted research in feature generation with machine learning and portfolio construction. My algorithms passed strict tests and boosted post-cost annual returns. Next, I built a live crypto bot for hands-on trading. This taught me how to run full end-to-end trading systems. I earned an engineering degree from NTU in Taiwan which gave me deep skills in clean, structural programming. Now, I study computational finance at CMU in New York. With these tools, I will build robust models for you and test real market signals to cut your risk. I seek to join a top statistical arb trading firm. I want to focus my work on core portfolio construction. My goal is to drive real growth in quant research. I will do my utmost to boost your firm's success daily. I look forward to meeting with you on Zoom or face-to-face to discuss how I will benefit your team.
