troycheng

Collaborated on a research project focused on misinformation and correction by building and maintaining a web platform to present visual and interactive findings. Developed the full-stack website using React, Ant Design, and Vite for the frontend, and Express.js and MySQL for the backend, ensuring responsive design and seamless data management. Optimized user experience for both researchers and public audiences by implementing clean UI/UX and efficient database query structures. Assisted in translating academic content into accessible web and video formats to enhance the public communication of research insights.

Conducting alpha research on the WorldQuant Brain platform, focusing on factor discovery, feature engineering, and strategy backtesting. Designed and tested predictive quantitative factors (alphas) from price, volume, and fundamental data, evaluating performance with IC/Rank IC analysis and factor correlation checks. Built and validated multi-factor models, performing portfolio simulations to assess risk-adjusted returns, Sharpe ratios, and drawdown profiles. Applied systematic research workflows to refine signals, reduce overfitting, and contribute scalable strategies to WorldQuant’s global research ecosystem.

Collaborated closely with coders and clients to define project requirements and deliver solutions. Developed front-end web development skills, learning Java, HTML, and CSS to create intuitive UI designs. Designed and optimized training programs through an AI-driven new employee business knowledge training system, reducing onboarding time by 50%.