๐ About Me
I'm a graduate student specializing in Quantitative Economics with a strong background in engineering. My research focuses on leveraging multi-agent reinforcement learning (MARL), game theory, and economics to explore real-world challenges like asymmetric information and market policies.
๐ Interests
- Reinforcement Learning: Building intelligent agents for strategic decision-making.
- Game Theory Applications: Modeling and simulating competitive and cooperative scenarios.
- Open Innovation: Combining open-source principles with economic strategies.
- Simulation Modeling: Using real-world data to validate complex systems.
๐ป Tech Stack
- Languages: Python, Java, SQL.
- Libraries: PyTorch, TensorFlow, Pandas, NumPy.
- Tools: VS Code, Git, Jupyter Notebook.
๐ Connect with Me
I'm always excited to collaborate on projects related to AI, economics, and policy simulations. Feel free to reach out or check out my repositories for more insights into my work!
โExploring the intersection of technology and economics, one line of code at a time.โ ๐