Imperial College London


Faculty of Natural SciencesDepartment of Mathematics

Research Associate



f.klimm Website




Sir Ernst Chain BuildingSouth Kensington Campus






Klimm F, 2021, Functional change along cellular trajectories, Nature Computational Science, Vol:1, ISSN:2662-8457, Pages:102-103

Klimm F, Maier BF, 2020, Commentary: A network science summer course for high-school students, Network Science, Vol:8, ISSN:2050-1242, Pages:596-608

Klimm F, Toledo E, Monfeuga T, et al., 2020, Functional module detection through integration of single-cell RNA sequencing data with protein–protein interaction networks, Bmc Genomics, Vol:21, ISSN:1471-2164

Klimm F, Deane C, Reinert G, 2020, Hypergraphs for predicting essential genes using multiprotein complex data, Journal of Complex Networks, ISSN:2051-1310


Dempster N, Souto K, Klimm F, et al., 2019, Asymptomatic cirrhosis is common in bariatric surgical patients, associated with adverse postoperative outcomes and can be better predicted by machine learning algorithms rather than existing non-invasive biomakers, Annual Meeting of the American-Association-for-the-Study-of-Liver-Diseases (AASLD) / Liver Meeting, WILEY, Pages:124A-125A, ISSN:0270-9139

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