Institut für Statistik
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 Topics: Algorithmic Decision-Making, Machine Learning for the Public Sector, Causal Machine Learning, Distribution Shifts