Welcome to my GitHub profile! Here’s an overview of my background and interests:
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Research Interests:
- Theoretical Focus: Policy-oriented DSGE models, with a particular focus on financial frictions and heterogeneous agents to analyze macroeconomic stability and policy interventions.
- Quantitative Methods: Integrating Machine Learning, Bayesian Estimation, and computational techniques to improve the accuracy and applicability of models in real-world scenarios.
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Learning Focus:
- I am passionate about enhancing economic models with advanced machine learning techniques, including natural language processing (NLP) and applied machine learning.
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Collaboration Interests:
- DSGE Modeling, Machine Learning in Economics, Macroeconomic Policy Analysis, and Financial Market Research.
- Open to collaborating on projects related to computational economics, AI-driven decision-making, and policy modeling.
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How to Reach Me:
- Email: mouhssine.rifaki@psl.eu
- LinkedIn: https://www.linkedin.com/in/rifaki
- Website: rifaki.me
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Fun Fact:
- I founded Alfiny, a machine learning-driven investment management startup, and am an alumnus of the PSL-Pepite and Paris-Dauphine entrepreneurial programs.