Imperial College London


Faculty of Natural SciencesDepartment of Life Sciences (Silwood Park)

Research Fellow (NERC Fellowship)



+44 (0)20 7594 2327o.windram




N3.1MunroSilwood Park





My research involves generation and interpretation of large scale omics data using network modelling techniques. Also, my research focuses on taking this novel systems biology based data and using it to generate novel organism phenotypes through synthetic biology approaches. These phenotypes involve the generation of organisms useful for agriculture and other industries such as crop plants with enhanced defence capabilities and organisms capable of producing useful chemicals and proteins.

There are a range of projects currently underway in the group for more details please see my Research Interests.

If you are interested in conduting MRes or UROP projects in areas of remote sensing (including hardware development for UAVs), Systems and Synthetic biology as well as general plant pathology please contact me.



Law J, Ng K, Windram O, 2020, The phenotype paradox: lessons from natural transcriptome evolution on how to engineer plants, Frontiers in Plant Science, Vol:11, ISSN:1664-462X

Kraberger S, Saumtally S, Pande D, et al., 2017, Molecular diversity, geographic distribution and host range of monocot-infecting mastreviruses in Africa and surrounding islands, Virus Research, Vol:238, ISSN:0168-1702, Pages:171-178

Windram OPF, Rodrigues RTL, Lee S, et al., 2017, Engineering microbialm phenotypes through rewiring of genetic networks, Nucleic Acids Research, Vol:45, ISSN:1362-4962, Pages:4984-4993

Windram O, Denby KJ, 2015, Modelling signaling networks underlying plant defence, Current Opinion in Plant Biology, Vol:27, ISSN:1879-0356, Pages:165-171


Bayer T, Rodrigues R, Windram O, 2015, Use of a rewired genetic control network to increase product expression

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