Causalica

Causal inference • decision science • research engineering

Causal inference for real decisions

A modern home for rigorous causal thinking—methods you can trust, explanations you can reuse, and workflows you can ship.

A living Quarto book with foundations, examples, and notes that grow over time.

Short, rigorous pieces on identification, robustness, and decision-making under uncertainty.

Causal strategy, design review, reproducible pipelines, and research engineering support.

Strong identification beats fancy models. I focus on assumptions, estimands, and robustness— then pick methods that match the decision.

Clean structure, versioned outputs, and workflows you can run again. No “mystery notebooks” that can’t be reproduced a month later.

I’m Amare Teklay — economist + software developer working on complex systems, applied causal methods, and research engineering.