Qing Feng

Qing Feng is a highly experienced data scientist and research scientist with a strong background in statistical modeling and optimization. Notable roles include a summer internship at US Airways focusing on airline demand forecasting and developing statistical models, a tenure at Uber as a Data Scientist on the Market Optimization Data Science team where a high-resolution spatial-temporal demand model was created for pricing optimizations, and leadership at Meta as a Research Scientist Manager overseeing advanced experimentation technologies and methods. Qing Feng has also contributed to mortgage finance projects as a Research Assistant at the Center for Community Capital and served as a Teaching Assistant in Statistics at the University of North Carolina at Chapel Hill. Qing Feng holds a PhD in Statistics with a minor in Computer Science from the University of North Carolina at Chapel Hill.