About me :)

Hello, I am Martin Carrasco—an incoming Doctoral Student at Fribourg University supervised by Prof. Bastian Rieck. My research focuses on geometrical and topological methods in machine learning, with a particular interest in theoretically motivated approaches that leverage differential geometry and algebraic topology. Currently, I am working with Dr. Telyatnikov and Dr. Bernardez from REAL AI in finding efficient alternatives to message passing for topological deep learning. Additionally, I am collaborating with Prof. Erik Bekkers from AMLab on equivariant message passing on point clouds using simplicial and cellular complex representations.