Odin Hoff Gardå

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Making AI more robust through the mathematics of shapes and geometry, where robust means remaining stable and reliable even when data is noisy or perturbed, as is often the case in the real world.

That is my research in a nutshell. I am currently doing my PhD in the machine learning group at the University of Bergen in Norway. My main research interests are in topological data analysis (TDA) and geometric deep learning (GDL). In particular, I focus on stability (e.g., outlier stability in TDA) and robustness (through equivariant and invariant models).

I completed my master’s degree in mathematics (topology) at the Norwegian University of Science and Technology (NTNU) in Trondheim (my hometown). If you want to know more about me, you can check out my personal chatbot here, or click around on this website to find out more about my research, projects and other side quests.