Arturs Berzins

I am a research lead at Iliad, whose goal is to strengthen the scientific foundations of AI safety research. I lead the Structure of Neural Networks group, which works on learning theory and interpretability. I also mentor at the Iliad Research Fellowship.

Previously, I was a postdoc at the Institute for Machine Learning at JKU Linz with Johannes Brandstetter and Sepp Hochreiter, where I worked on machine learning for geometry and simulation. I received a PhD in mathematics from the University of Oslo with a thesis on Neural Representations in Geometry. I was hosted by the Geometry group at SINTEF as a fellow of GRAPES.

I received my BSc and MSc in mechanical engineering from RWTH Aachen, specializing in simulation technology and applying machine learning to geometry-heavy engineering tasks. My broader research interests include geometry in machine learning, interpretability, deep learning theory, and machine learning for science and engineering.