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., bayNorm: Bayesian gene expression recovery, imputation and normalisation for single cell RNA-sequencing data, Bioinformatics, ISSN:1367-4803
et al., 2019, MALDI-TOF mass spectrometry on intact bacteria combined with a refined analysis framework allows accurate classification of MSSA and MRSA., Plos One, Vol:14, ISSN:1932-6203, Pages:1-16
Dyer NP, Shahrezaei V, Hebenstreit D, 2019, LiBiNorm: an htseq-count analogue with improved normalisation of Smart-seq2 data and library preparation diagnostics, Peerj, Vol:7, ISSN:2167-8359
et al., 2019, Single-cell imaging and RNA sequencing reveal patterns of gene expression heterogeneity during fission yeast growth and adaptation, Nature Microbiology, Vol:4, ISSN:2058-5276, Pages:480-491