معرفی
Yucheng Yang is an Assistant Professor of Finance at the University of Zurich and a member of the Swiss Finance Institute. He earned his PhD from Princeton University in 2023, with prior degrees from Peking University and the University of Wisconsin-Madison. His research focuses on macroeconomics, finance, and machine learning, emphasizing topics like heterogeneous agent models, monetary policy, and big data integration. He has held visiting positions at NYU and Yale and has received awards such as the CICF Yihong Xia Best Paper Award and the CES Gregory Chow Best Paper Award.
His work bridges theoretical economics with computational methods, addressing challenges in asset pricing, business cycle analysis, and policy design. Recent research includes applications of deep learning to search and matching models and the development of global solution methods for complex economic systems. Yang is actively involved in teaching and mentoring, currently hiring research assistants in machine learning and macroeconomic modeling.
Awards include recognition for his contributions to macroeconomic analysis and financial modeling. His research has implications for central bank policies and financial market dynamics, with a focus on inclusive economic frameworks.
