About us: Research group “Computational Oncology”

We are a young, interdisciplinary group of scientists using computational methods to decipher cancer. Our main tools are Artificial Intelligence and Computational Modeling. We combine these tools with a clinical perspective on cancer genomics, targeted treatment and immunotherapy. Our clinical focus is gastrointestinal cancer, including cancer of the bowel, stomach, liver and pancreas. To learn more about our research, have a look at our featured publications.

Our affiliations

We are based at RWTH University Hospital in Aachen, Germany. In addition, we are affilated with the Department of Medical Oncology, National Center for Tumor Diseases, Heidelberg, Germany and the Department of Pathology and Data Analytics, University of Leeds, Leeds, UK.

Background: Gastrointestinal cancer

Metastatic gastrointestinal (GI) cancers are prevalent and lethal diseases which have seen multiple new treatment approvals in the last ten years. However, only subsets of patients show a clinically meaningful response to any new drug. In this setting, there is a high clinical need to define predictive biomarkers, to find optimal combination regimes and to identify cellular mechanisms which drive response and resistance.

Our funding

We are funded by RWTH Aachen University (“START” program), the Academy of Sciences and Arts of the state of North-Rhine Westphalia, by the German Cancer Aid (Deutsche Krebshilfe, “Max Eder research group”) and by the German Federal Ministry of Health (BMG, “DEEP LIVER”).


We care for our environment like we care for our patients. Aiming to be a carbon-neutral research group, we prioritize traveling by train and offset our travel-related carbon emissions. We are aware that our AI experiments lead to carbon emissions and we are planning to mitigate this footprint.

Recent Posts

Towards targeted treatment of cancer with Artificial Intelligence

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Survey on AI applications in pathology

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Our research featured in the news

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How to develop AI biomarkers for the clinic

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New job opportunity in our group

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Our research featured in the news

Large international consortium for deep learning-based genotyping of colorectal cancer: MSIDETECT

New publication: Pan-cancer image-based detection of clinically actionable genetic alterations

New preprint: Deep learning detects virus presence in cancer histology

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