Fabian Klemm - Zuse School ELIZA

Master’s Student

I am a Master’s in Mathematics student at TUM interested in topics lying at the intersection of deep learning and computational biology. I focus on using methods such as generative modeling, flow matching and optimal transport to solve problems in single-cell analysis, spatial transcriptomics and molecular dynamics. Previously, I was able to gain experience as a teaching assistant at TUM, a student researcher developing ML for Alzheimer’s hallmark detection at Helmholtz Munich, and a ML intern for anomaly detection on battery fleet data at BMW.

I am a Master’s in Mathematics student at TUM interested in topics lying at the intersection of deep learning and computational biology. I focus on using methods such as generative modeling, flow matching and optimal transport to solve problems in single-cell analysis, spatial transcriptomics and molecular dynamics. Previously, I was able to gain experience as a teaching assistant at TUM, a student researcher developing ML for Alzheimer’s hallmark detection at Helmholtz Munich, and a ML intern for anomaly detection on battery fleet data at BMW.