Daniel Meißner

Daniel Mei is a seasoned data science professional currently serving as the Director of Data Science at AARP since March 2022, focusing on machine learning and AI modeling for marketing decision-making. With prior experience as a Machine Learning & Analytics Advisor and Senior Manager of Consumer Credit Risk Modeling at BMO Financial Group, Daniel has directed teams responsible for critical risk modeling and analytics. Previous roles include Director of Risk Model Development at Equitable Bank, where Daniel led the development of various capital models, and positions at BMO and RBC that emphasized credit strategy optimization and consumer portfolio management. Daniel's educational background includes a Master of Management in Artificial Intelligence and Machine Learning from the Smith School of Business at Queen's University, a Graduate Diploma in Financial Engineering from Schulich School of Business, and degrees in Computer Science and Civil Engineering from York University and Tongji University, respectively.