Teaching

I teach on both sides of the economics–AI interface: core macroeconomics and computational economics, and the machine learning, deep learning, and reinforcement learning that economists increasingly need.

Courses Prepared to Teach

Economics core

• Principles of Macroeconomics; Intermediate and Advanced Macroeconomics
• Mathematical Economics and Dynamic Optimization; Computational Economics; Numerical Methods for Economics
• Heterogeneous-Agent Macroeconomics; Quantitative Public Economics and Social Security

Artificial intelligence for economists

• Machine Learning; Deep Learning; Reinforcement Learning
• Transformers and Large Language Models — introductory and applied modules

Economics × AI

• AI for Solving Dynamic Economic Models; Multi-Agent Learning and Economic Simulation
• AI, Distribution, and Public Policy; Computational Macroeconomics Laboratory