Machine Learning, Non Euclidean, Hyperbolic Geometry, Data Science, Euclidean Distance.
a PhD at KTH Royal Institute of Technology. He is working on geometric and topological methods for representation learning, and applications to Brain-Computer Interfaces. I quickly remembered him presenting his master’s thesis focusing on computational topology including non-Euclidean geometry