Hi, I’m Raghuwansh

• I’m a PhD student at the University of Luxembourg, deep diving into the mathematical foundations of geometrical/topological deep learning. I am currently working under Professor Jun Pang.
• My research interests include:
  • Geometrical & Topological Deep Learning architectures, especially on non-Euclidean domains such as manifolds, spheres, graphs, higher order data objects like combinatorial complexes.
  • Mathematical breakthroughs in GDL/TDL through the lens of differential geometry, algebraic topology, graph theory, and group theory.
  • Geometric graph neural networks, equivariant graph neural networks, and the expressive power of GNNs.
  • Applications of GDL/TDL in atomic systems, drug discovery, and molecular dynamics simulations.
  • Occasional musings on AI alignment, interpretability and ethics, existence and consciousness.