Jinjing Yang

At PWBM, Jinjing leads the development of an automated framework for integrating and maintaining complex economic models, including the microsimulation model, economic projections, the tax simulator, the OASI calculator, other budget projections and the OLG model. Her work focuses on streamlining model execution, validating inputs and outputs, improving cross platform reliability, and supporting scalable, maintainable policy analysis. Earlier at PWBM, Jinjing designed and developed the organization’s data platform by integrating data from more than ten government sources and processing multi-scale geographic data using Python. Prior to joining PWBM, she worked as an Engineering Analyst at Goldman Sachs Asset Management Division. She holds a Master of Science in Financial Engineering from Columbia University and a Bachelor of Business Administration in Finance and Statistics from The Chinese University of Hong Kong. While working at PWBM, she completed a Master of Computer and Information Technology at the University of Pennsylvania, further strengthening her expertise in computer systems, algorithms, and applied artificial intelligence.