Dr Danesh Moradigaravand

Dr Danesh Moradigaravand

Institute of Cancer and Genomic Sciences
Programme Director MSc Bioinformatics Dubai

Contact details

Centre for Computational Biology
Institute of Cancer and Genomic Sciences
Haworth Building (Y2)
University of Birmingham
Birmingham B15 2TT

Dr Moradigaravand graduated with a PhD in Theoretical Biology from the Federal Institute of Technology in Zurich in 2014. He became a Lecturer in Bioinformatics and Computational Biology at the University of Birmingham in 2018. Prior to this position, he was a Senior Bioinformatician and Research Fellow at the Welcome Sanger Institute. Dr Moradigaravand’s research aims to provide a better understanding of evolutionary dynamics of bacterial populations. To this end, he develops theoretical evolutionary genetics models and computational frameworks and conducts genomic data analyses by taking a machine learning approach. In particular, the focus is on the evolution of antibiotic resistance in pathogens in clinical and non-clinical settings.


  • PhD in Theoretical Biology, Federal Institute of Technology in Zürich (ETHZ), 2014
  • MSc in Molecular Biology, International Max Planck Research Schools in Göttingen (IMPRS), 2011


Dr Moradigaravand utilizes whole genome sequencing to reconstruct recent population histories for major pathogens at a fine resolution. He uses these histories to establish the rate of the spread of antibiotic resistance for important emerging pathogens, and scrutinize evolutionary dynamics. This aims to provide insights into genomic antibiotic resistance determinants, recent epidemiology, and the extensive dissemination of antibiotic resistance genes via horizontal gene transfer across different hosts and settings. Furthermore, the research highlights evolutionary and epidemiological links between pathogens residing within-host and those occupying environmental niches. 

The other research interest is to understand the genotype-phenotype relationship that determines antibiotic resistance and make use of this information to develop theoretical models that predict bacterial phenotype from genotype. In particular, Dr Moradigaravand will utilize this information to establish and validate machine learning frameworks for predicting antibiotic resistance and horizontal transmission phenotypes from genome, transcriptome and proteome.


* Shared authorship   ‡ Corresponding author 

Machine-learning prediction of resistance to sub-inhibitory antimicrobial concentrations from Escherichia coli genomes.  S. Benkwitz-Bedford, M. Palm, T.Y. Demirtas, V. Mustonen, A. Farewell, J. Warringer, D. Moradigaravand‡*, L. Parts* doi: https://doi.org/10.1101/2021.03.26.437296 (bioRxiv) – 2021

Genomic Epidemiology and Evolution of Escherichia coli in Wild Animals in Mexico. R. Murphy, M. Palm, A. Farewell, V. Mustonen, L. Parts, D. Moradigaravand‡ mSphere – 2021

A One Health study of the genetic relatedness of Klebsiella pneumoniae and their mobile elements in the East of England.  C. Ludden*, D. Moradigaravand*, D. Jamrozy, T. Gouliouris, B. Blane, P. Naydenova, J. Hernandez-Garci, P. Wood, N. Hadjirin, M. Radakovic, C. Crawley, NM Brown, M. Holmes, J. Parkhill, S. J. Peacock  Clinical Infectious Diseases – 2020 

Prediction of antibiotic resistance in Escherichia coli from large-scale pan-genome data. D. Moradigaravand‡, M. Palm, A. Farewell, V. Mustonen, L. Parts‡. PLoS Computational Biology (Special issue on Machine Learning in Health and Biomedicine) 14(12): e1006258 - 2018 

Within-host evolution of Enterococcus faecium during longitudinal carriage and transition to bloodstream infection in immunocompromised patients. D. Moradigaravand*‡, T. Gouliouris*‡, B. Blane, P. Naydenova, C. Ludden, C. Crawley, NM. Brown, M. E. Török, J. Parkhill, S. J. Peacock. Genome Medicine 9(1), 119 – 2017 

Evolution of the Staphylococcus argenteus ST2250 clone in Northeastern Thailand is linked with the acquisition of livestock-associated Staphylococcal genes. D. Moradigaravand‡, D. Jamrozy, R. Mostowy, A. Anderson, EK. Nickerson, J. Thaipadungpanit, V. Wuthiekanun, D. Limmathurotsakul, S. Tandhavanant, C. Wikraiphat, G. Wongsuvane, N. Teerawattanasook, Y. Jutrakul, N. Srisurat, P. Chaimanee, T. E. West, B. Blane, J. Parkhill, N. Chantratita‡, S. J. Peacock. MBio 8(4) – 2017

Evolution and epidemiology of multidrug resistant Klebsiella pneumoniae in the UK and Ireland. D. Moradigaravand, V. Martin, S. J. Peacock, J. Parkhill‡. MBio 8(1) – 2017


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