Timmy Cai is a Quantitative Researcher at Exponential Technology Inc., where he leads the development of global macro forecasting products. He builds bottom-up, data-driven models to predict key economic indicators using alternative datasets and machine learning techniques. His work focuses on generating accurate, real-time forecasts by combining statistical modeling with domain expertise. Timmy Cai is a Quantitative Researcher at Exponential Technology Inc., where he leads the development of global macro forecasting products. He builds bottom-up, data-driven models to predict key economic indicators using alternative datasets and machine learning techniques. His work focuses on generating accurate, real-time forecasts by combining statistical modeling with domain expertise. Prior to joining Exponential, Timmy earned his Master of Science in Financial Mathematics from The University of Chicago and holds a Bachelor of Science in Mathematics from Bentley University, graduating summa cum laude. Outside of work, Timmy enjoys playing piano, cooking, and billiards.