// machine learning · economics · policy
I use machine learning to explore and solve economic challenges — forecasting, causal inference, NLP, and agent-based modeling at the intersection of markets and computation.
01 — About
I sit at the intersection of economic theory and modern machine learning. My work spans forecasting macro indicators, estimating causal effects of policy, extracting signals from text, and simulating complex economic systems. I believe rigorous modeling — with interpretability and fairness at its core — can genuinely inform better decisions.
02 — Work
03 — Contact
Open to collaborations, consulting engagements, and academic inquiries. If you're working on something at the frontier of economics and machine learning, I'd love to hear from you.
Reach out via email ↗