Dr Vahid Shahrezaei is a Senior Lecturer in Biomathematics. Before joining Imperial he was a postdoctoral fellow in center for nonlinear dynamics at McGill University in Montreal. He did his PhD at Simon Fraser University, Vancouver.
The main area of Dr Shahrezaei's research is Computational Molecular Systems Biology. He is interested in studying design principles that enable cells to function robustly, in spite of significant inherent stochasticity and environmental noise. To this end, a combination of analytical and computational methods is used to investigate the temporal, spatial and stochastic dynamics of biochemical networks.
Interested PhD students should contact Dr Shahrezaei by email.
For more information please check out the Personal Webpage.
et al., 2020, A bacterial size law revealed by a coarse-grained model of cell physiology, Plos Computational Biology, Vol:16, ISSN:1553-734X
et al., 2020, Epimutations driven by small RNAs arise frequently but most have limited duration in Caenorhabditis elegans., Nature Ecology and Evolution, ISSN:2397-334X
Rodosthenous T, Shahrezaei V, Evangelou M, 2020, Integrating multi-OMICS data through sparse Canonical Correlation Analysis for the prediction of complex traits: A comparison study, Bioinformatics, Vol:36, ISSN:1367-4803, Pages:4616-4625
et al., 2020, Size-Dependent Increase in RNA Polymerase II Initiation Rates Mediates Gene Expression Scaling with Cell Size., Curr Biol, Vol:30, Pages:1217-1230.e7
et al., 2020, Size-dependent increase in RNA Polymerase II initiation rates mediates gene expression scaling with cell size, Current Biology, Vol:30, ISSN:0960-9822, Pages:1217-1230.e7