Unai Fischer Abaigar

I study the foundations of prediction systems used to guide resource allocation in the public sector. A core theme of my research is thinking holistically about decision-making systems, examining not just the predictive algorithms themselves but how they are designed, deployed, and integrated into broader decision-making processes.

I completed my PhD in Statistics at LMU Munich, where I was part of the Social Data Science and AI Lab and was advised by Christoph Kern and Frauke Kreuter. My doctoral work was supported by the Konrad Zuse School for Excellence in Reliable AI and the Munich Center for Machine Learning.

During my PhD, I was a visiting fellow at Harvard SEAS and its Center for Research on Computation and Society (CRCS), hosted by Cynthia Dwork and Juan Carlos Perdomo, and a visitor at MIT LIDS, hosted by Sendhil Mullainathan. I hold a BSc and MSc in Physics from Heidelberg University and previously worked at the Hertie School Data Science Lab.