Jan Höfer

I am a Master’s student in Physics at the University of Heidelberg, specializing in machine learning and computational biology. My background in physics has given me an interdisciplinary perspective on machine learning and has driven my interest in both its theoretical foundations and practical applications. Alongside my studies, I gained industry experience at a software company focusing on tailored machine learning solutions in the medical sector. My work included automated detection of cancerous tissue and the implementation of voice-assisted control for a hand orthosis. I am currently working on analyzing perturbational effects in single-cell data using novel machine learning approaches based on Normalizing Flows, in a collaboration with the EMBL in Heidelberg. I am keen to investigate the potential of AI to better understand cellular activity and to advance data-driven biology.