Meng Yang

Meng Yang is a seasoned data scientist specializing in fraud strategy and analytics at Truist since 2024. With over eight years of industry experience, Meng has a strong background in creating predictive models, data regression analysis, and data mining algorithms to solve complex business problems. Previously, Meng served as a Data Scientist Research Assistant at UChicago Medicine, where they significantly enhanced model performance through innovative techniques, and as a Data Scientist Intern at Block, where they improved transaction processes. Meng holds dual Master of Science degrees in Data Science from the University of Chicago and Computer Science from Georgia Institute of Technology.