Joao Jeronimo

Welcome to my website! I am a PhD economist with a background in competition and labour economics, econometrics, and applied data analysis. I currently work as a AI domain-expert evaluating LLM performance on econometrics and data science tasks, including rubric development for causal inference workflows, econometric method selection, and code quality.

My research interests are in labour, energy and causal inference, and I work extensively with large-scale datasets (50M+ observations), using Python, R, and Stata to build econometric models for inference and prediction tasks.

On this site, I share ideas from my research in economics, along with thoughts on closely related interests such as mathematics, statistics, and machine learning. You'll also find details about my current and past research, as well as my CV.