David Lin

David Lin is currently a Quantitative Researcher at Aquatic Capital Management, where he focuses on leveraging advanced statistical and machine learning techniques to identify and execute investment opportunities. His role encompasses quantitative modeling, strategy development, and the application of AI to systematic trading, with a particular emphasis on equities and derivatives markets.

Previously, David was a Teaching Assistant at Stanford University and held a Quantitative Research Analyst Internship at Citadel Securities, where he gained hands-on experience analyzing financial markets and developing quantitative trading strategies. His expertise lies at the intersection of artificial intelligence and quantitative finance, supporting research and implementation across highly liquid asset classes.

David holds a Master of Science in Computer Science with a specialization in Artificial Intelligence and a Bachelor of Science with Honors in Mathematics, both from Stanford University, as well as a degree from Raffles Institution. His academic achievements and industry experience position him as a specialist in AI-driven investment research within the financial sector, with a strong technical and analytical foundation tailored for systematic asset management.