LinkedIn Profile The questions that interest me most rarely have obvious answers; they require evidence, experimentation, and careful reasoning. I am pursuing a career in quantitative research, where I can use statistical modeling, machine learning, and financial theory to study markets and develop data-driven investment insights. I am especially interested in factor research, systematic investing, and predictive modeling, with a focus on understanding why a strategy works, not only whether it works. Through academic projects and professional experiences, I have worked with large-scale financial datasets to evaluate market behavior, test hypotheses, and build quantitative models. I have applied regularized regression, principal component analysis, time series modeling, and Monte Carlo simulation to improve signal quality and assess portfolio risk under different market conditions. These experiences have strengthened my ability to turn complex data into clear, testable, and practical research conclusions. What makes my perspective distinct is the combination of rigorous training in mathematics and statistics, hands-on quantitative finance experience, and a global academic background across China, the United States, and the United Kingdom. I am excited to connect with researchers and industry professionals to discuss quantitative investing and explore how I can contribute to innovative research teams.
