Andy Lee is an innovator in the capital markets. For over two decades, he has invented and brought to market breakthrough products that transformed how investors consume and apply signals across both fundamental and quantitative disciplines. Previously Director of Quantitative Research at Exegy, he led a team of researchers and engineers in producing real-time machine learning signals that power high and medium-frequency trading. Prior to that, Andy co-headed the institutional equity research group at Zacks Investment Research with additional stops at Merrill Lynch and Edward Jones. He holds five patents in AI-driven trading technologies and earned his Master's in Applied Data Science from the University of Michigan (Ann Arbor). His expertise spans market microstructure, fundamental financial analysis, data science, alternative data, and high-performance signal engineering.