Economist & Data Scientist | Causal Inference & Macro-Financial Research | Deep Learning & Computer Vision
Economist and Data Scientist, currently conducting research in causal inference, applied econometrics, and macro-finance at the Banco de la República (Central Bank of Colombia).
Passionate about deep learning, particularly computer vision, representation learning, and neural network architectures, with a strong interest in their mathematical foundations and implementation from scratch.
- Applied economic research: causal inference, macro-financial economics, monetary policy, credit markets, and financial system analysis.
- Deep learning & computer vision: vision transformers, diffusion models, representation learning, generative modeling, and neural network architectures.
- Research-first engineering: reproducible experiments, modular code, configuration-driven pipelines, and paper-faithful implementations in PyTorch.
- Quantitative methods: applied econometrics, causal identification, Bayesian inference, structural analysis, and computational modeling.
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Research and implementations spanning deep learning, computer vision, generative modeling, transformers, geometric learning, computational economics, and Bayesian econometrics.
