News

Jan

2026

Publication

Aggregation trees published

Who benefits most from a policy—and how do you find out without p-hacking? My paper Aggregation trees, now published in Econometric Reviews, automatically discovers the subgroups that matter and leverages double machine learning for rigorous inference on each group's treatment effect.

Paper R package

Nov

2025

Media

Featured in Il Messaggero

A random forest that does econometrics—interesting enough to make the front page. Ordered correlation forest was picked up by Il Messaggero, one of Italy's largest national newspapers.

Paper R package

Nov

2025

Award

Emerging Econometrician award

Best paper in Econometric Reviews by a scholar within seven years of their Ph.D.—my Ordered correlation forest took home the Emerging Econometrician Award.

Paper R package

Oct

2025

Publication

Causal inference for qualitative outcomes published

Health rated poor → fair → good → excellent—that is not a number, so why treat it like one? Causal inference for qualitative outcomes, now in Economics Letters, gives you clean causal effects on every category, with your favourite identification strategy.

Paper R package

Jan

2025

Publication

Ordered correlation forest published

Ordered logit assumes too much; plain random forests give you no inference. Ordered correlation forest, now in Econometric Reviews, splits the difference—a forest built for ordered outcomes that hands you predictions and marginal effects with valid confidence intervals.

Paper R package

Award

Emerging Econometrician

Press

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