Alessia Berarducci

Sys. Loc: Lugano, Ticino, CH
Track: Causal Inference / Fairness
Status: PhD Candidate at Statistical Computing Lab

Research

This is what I'm currently working on.

I study how to build models that stay reliable when the data changes across environments.

In particular, I focus on causal regularization under distribution shifts, aiming to obtain stable and robust predictions even when we do not observe a reference setting.

Publications

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Presentations

March 2026
Causal Regularization under Shifted Heterogeneity
Swiss Statistics Seminars — Bern

Activities

Research

Robust out-of-sample prediction under distribution shifts.

Teaching

Teaching assistant in statistics, probability, causal AI and graphical models.

Code

R, Python, simulation, empirical analysis and reproducible experimentation.

Interests

Swimming, fitness, choir singing and dogs.