PhD
Chair of Statistics and Data Science in Social Sciences and the Humanities at LMU
Institut für Statistik
Ludwig-Maximilians-Universität München
Ludwigstr. 33
80539 München
Biosketch
Unai is a PhD candidate at LMU’s Chair of Statistics and Data Science in Social Sciences and the Humanities at the Institute of Statistics. His research focuses on the reliability of machine learning in high-stakes decision settings, particularly in the public sector. Currently, he’s focused on increasing model robustness under distribution shifts and leveraging causal machine learning techniques.
Unai holds a Bachelor’s and Master’s in Physics from the University of Heidelberg, where he specialised in reconstructing dynamical systems, cooperative networks, and generative recurrent neural networks. He also worked as an associate researcher at the Hertie School in Berlin, exploring the intersection of machine learning and government.
relAI Research
Foundations of Prediction in the Public Sphere
I study the foundations of prediction systems used to guide resource allocations 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.