Sen Yuan

Sen Yuan is a seasoned professional in machine learning and data science with extensive experience across prominent technology companies. At Amazon, Sen Yuan worked as a Research Scientist II, focusing on machine learning solutions for fraud investigation and developing statistical algorithms to enhance A/B testing. In the role of Senior Research Scientist, efforts were directed toward the creation of advanced machine learning models for risk detection. As a Data Science Manager at DiDi, Sen Yuan collaborated with senior executives to implement data strategies and managed a team to build the company's first experimentation platform. Currently, as a Staff Machine Learning Engineer at Meta, Sen Yuan leads the development of privacy-preserving machine learning solutions and facilitates cross-functional collaboration. Early career experience includes a role as a Statistician at Google, where a bias-correction statistical model was launched to evaluate brand advertisement effectiveness. Sen Yuan holds an academic degree from the University of Minnesota-Twin Cities.