I study recommender systems and personalization: how we evaluate them, how people experience them, and their consequences for society and the environment.

My research connects evaluation and reproducibility with questions about human preferences, interaction and trust. I examine how experimental choices shape our conclusions, and how those conclusions relate to what people need from recommendation systems.

I investigate fairness, accountability and the environmental costs of personalization. These questions inform how we design systems, what we measure, and what we count as progress.