I am a computational biologist with a background in ‘wet lab’ biology. My work focuses on predicting effective drug combinations for cancer based on large-scale screens.
My research interests include personalised, precision medicine; network biology; identification and validation of therapeutic targets; information flow in protein-protein interaction networks, and the evolutionary consequences of cancer therapies.
SiGNet: A signaling network data simulator to enable signaling network inference.
PloS one 2017;12;5;e0177701
Simulated ablation for detection of cells impacting paracrine signalling in histology analysis.
Mathematical medicine and biology : a journal of the IMA 2019;36;1;93-112
canSAR: an updated cancer research and drug discovery knowledgebase.
Nucleic acids research 2016;44;D1;D938-43
canSAR: updated cancer research and drug discovery knowledgebase.
Nucleic acids research 2014;42;Database issue;D1040-7