Imperial College London


Central FacultyGraduate School

Teaching Fellow- Data Science Skills Leader



+44 (0)20 7594 8629j.pinney




327Sherfield BuildingSouth Kensington Campus





I am the Data Science Skills Leader within the Graduate School at Imperial College London. I work with colleagues across the College to design and deliver high quality training in the programming, statistics and machine learning skills that are essential for today's scientific research. My research interests are chiefly in 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, Baele G, Nahata KD, et al., 2021, Intrahost speciations and host switches played an important role in the evolution of herpesviruses., Virus Evolution, Vol:7, ISSN:2057-1577, Pages:veab025-veab025

Brito AF, Pinney JW, 2020, The evolution of protein domain repertoires: shedding light on the origins of the Herpesviridae family., Virus Evolution, Vol:6, ISSN:2057-1577, Pages:veaa001-veaa001

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

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