Moritz Gerstung

Artificial intelligence and machine learning in oncology

Digital pathology

Precision oncology

AI-supported models for risk prediction

Tumor development

Moritz Gerstung heads the Artificial Intelligence in Oncology Department at the German Cancer Research Center (DKFZ) in Heidelberg.

His research combines methods from artificial intelligence, statistics, and genomics to decipher the mechanisms of cancer development. Genomics in this context focuses not on individual genes but on an organism’s entire genetic makeup. 
Together with his team, Gerstung develops AI models to predict disease progression, response to therapies, and tumor development. To achieve this, the bioinformatician uses large clinical, molecular, and microscopy-based datasets. Gerstung’s internationally acclaimed algorithms generate long-term prognoses and are applicable across a wide range of diseases.

Gerstung studied physics at the University of Freiburg and received his doctorate in computational biology from ETH Zurich in 2012. He then spent several years conducting research in Cambridge before joining the DKFZ in 2021. Gerstung is also a Professor of Artificial Intelligence in Oncology at the University of Heidelberg.