Imperial College London


Central FacultyGraduate School

Teaching Fellow - Data Science Skills



+44 (0)20 7594 8629j.pinney




327Sherfield BuildingSouth Kensington Campus





I am a Royal Society University Research Fellow in the Theoretical Systems Biology group at Imperial. My research focuses on computational systems biology, drawing together information from macromolecular sequences, protein structures, biological networks and other experimental data to study the evolution and function of biological systems.



Brito AF, Pinney JW, 2017, Protein–Protein Interactions in Virus–Host Systems, Frontiers in Microbiology, Vol:8, ISSN:1664-302X

Liberal R, Lisowska BK, Leak DJ, et al., 2015, PathwayBooster: a tool to support the curation of metabolic pathways, Bmc Bioinformatics, Vol:16, ISSN:1471-2105

Zurauskiene J, Kirk P, Thorne T, et al., 2014, Derivative processes for modelling metabolic fluxes, Bioinformatics, Vol:30, ISSN:1367-4803, Pages:1892-1898

Bryant WA, Faruqi AA, Pinney JW, 2013, Analysis of Metabolic Evolution in Bacteria Using Whole-Genome Metabolic Models, Journal of Computational Biology, Vol:20, ISSN:1066-5277, Pages:755-764

Williams KJ, Bryant WA, Jenkins VA, et al., 2013, Deciphering the response of Mycobacterium smegmatis to nitrogen stress using bipartite active modules, Bmc Genomics, Vol:14, ISSN:1471-2164

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