Michael Bleher

My Ph.D. project revolves around the connections between topologically twisted supersymmetric field theories, Floer theories, and knot homologies.

I'm generally fascinated by unreasonably effective applications of abstract mathematical ideas in the natural sciences (and vice versa). I'm involved in STRUCTURES | EP Math and Data at Heidelberg University, which explores new developments in topological data analysis and geometric machine learning. I have contributed to the creation of CoVtRec, which utilizes persistent homology to gain insights into the evolution of Sars-CoV-2.