Andrew Ji Personal Website

I am Andrew Ji, an undergraduate student at the University of Virginia working across climate science, artificial intelligence, business, math, and environmental data science.

My research focuses on machine learning for extreme precipitation and climate-change attribution, with an emphasis on interpretable, rigorous, and decision-relevant AI.

I hope to build rigorous tools that help society better understand climate risk, incentives, and ESG-driven decisions in a changing world.

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Selected Work · A Preview

What I'm building

The portfolio is less about collecting unrelated projects and more about tracing one consistent instinct: to make complex systems more interpretable, more defensible, and more useful for decisions.

No. 01 · Research

Attributing Extreme Precipitation to Global Warming via AI

A FiLM-conditioned CNN that preserves a causal intervention pathway for GMT, enabling counterfactual attribution of extreme rainfall across the contiguous United States.

No. 02 · Research · Applied

ML-based ESG Investment Return Attribution

Decomposing what ESG signals actually do to long-term, risk-adjusted performance — separating structural drivers from market noise.

No. 03 · Data Infrastructure

Global Geospatial Site Selection & ROI

A 90+ variable location intelligence system for EV battery factory siting, built to make sensitivity visible across policy and cost scenarios.

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