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Prof. Dr. Peter N. Robinson

Medical Computer Science and Artificial Intelligence

Contact information
Address:Berlin Institute of Health at Charité (BIH)
Rahel Hirsch Center for Translational Medicine
Luisenstraße 65

10117 Berlin

The Robinson Lab started at the Charité – Universitätsmedizin Berlin and moved to the Jackson Laboratory (JAX) for Genomic Medicine in 2016. In January 2024, we moved to the Berlin Institute of Health (BIH) at Charité in Berlin. In the framework of an Alexander von Humboldt Professorship, we are setting up a new research group in Berlin and are hiring. Our Lab will be retaining an affiliation with JAX and some group members are working remotely in the US.


We have a focus on ontologies, which are an important kind of computational knowledge representation, a field of artificial intelligence that represents domain knowledge in a form that computer algorithms can leverage to perform complex tasks. We develop algorithms that leverage ontologies, statistical, semantic, Bayesian, and machine-learning methologies in innovative ways to address challenges in rare-disease and precision medicine. The focus of the research is both on the development of new AI algorithms and their application to medical data.


A major focus of the lab is to create ontologies for representing and analyzing medical data. Ontologies allow clinical data to be modeled computationally in a way that enables differential diagnostic support and machine learning.

Our group has created the Human Phenotype Ontology and the Medical Action Ontology and has led the development of the Phenopacket Schema for the Global Alliance for Genomics and Health. Our work is performed as part of the Monarch Initiative, and international team of ontologiests and bioinformaticians dedicated to applying ontologies and semantic algorithms to improve human health.

Translational and Genomic Bioinformatics

Our group creates algorithms for translational and genomic research. Topics include diagnostic exome and genome sequencing, analysis of genomic data from RNA-seq, ChIP-seq, and Hi-C, and machine learning. Although our focus has been on rare genetic disease, current projects involve common diseases and cancer.

Selected Publications

Gargano MA, Matentzoglu N, Coleman B, Addo-Lartey EB, Anagnostopoulos AV, Anderton J, […], Robinson PN. The Human Phenotype Ontology in 2024: phenotypes around the world. Nucleic Acids Res. 2024 Jan 5;52(D1):D1333-D1346. doi: 10.1093/nar/gkad1005. PMID: 37953324; PMCID: PMC10767975.

Carmody LC, Gargano MA, Toro S, Vasilevsky NA, Adam MP, […], Robinson PN. The Medical Action Ontology: A tool for annotating and analyzing treatments and clinical management of human disease. Med. 2023 Dec 8;4(12):913-927.e3. doi: 10.1016/j.medj.2023.10.003. Epub 2023 Nov 13. PMID: 37963467; PMCID: PMC10842845.

Reese JT, Blau H, Casiraghi E, Bergquist T, Loomba JJ, […], Robinson PN; N3C Consortium; RECOVER Consortium. Generalisable long COVID subtypes: findings from the NIH N3C and RECOVER programmes. EBioMedicine. 2023 Jan;87:104413. doi: 10.1016/j.ebiom.2022.104413. Epub 2022 Dec 21. PMID: 36563487; PMCID: PMC9769411.

Coleman B, Casiraghi E, Blau H, Chan L, Haendel MA, Laraway B, Callahan TJ, Deer RR, Wilkins KJ, Reese J, Robinson PN. Risk of new-onset psychiatric sequelae of COVID-19 in the early and late post-acute phase. World Psychiatry. 2022 Jun;21(2):319-320. doi: 10.1002/wps.20992. PMID: 35524622; PMCID: PMC9077621.