PKU-Zurich PhD Summer School on
Machine Learning for Macroeconomics and Finance 北京大学–苏黎世大学
机器学习与宏观金融博士生暑期讲习班

The PKU–Zurich PhD Summer School on Machine Learning for Macroeconomics and Finance is an international academic program focusing on frontier applications of machine learning in macroeconomics and macro-finance. The program convenes world-leading faculty to provide rigorous, systematic training in deep learning, reinforcement learning, and discrete- and continuous-time methods, with applications to heterogeneous-agent models, asset pricing, macro-finance, and dynamic general equilibrium.

北京大学–苏黎世大学 PhD Summer School on Machine Learning for Macroeconomics and Finance 是由北京大学与苏黎世大学学者联合主办的高端国际博士生暑期讲习班，聚焦机器学习方法在宏观经济学与宏观金融中的前沿应用。讲习班邀请来自世界一流大学的顶尖学者，系统讲授深度学习、强化学习与离散/连续时间方法在异质性主体模型、资产定价、宏观金融与动态一般均衡中的最新理论进展与计算工具，旨在帮助青年学者掌握前沿研究范式，推动跨学科基础研究。