Associate Professor in Computational Biology, Faculty of Medicine & Health Sciences
Dr Blanchard graduated from Nottingham Trent University in 2006 with a BSc (Hons) in Animal Science. He then went on to be a research technician for six years before completing a PhD in Computational Microbiology at the School of Veterinary Medicine and Sciences at University of Nottingham. He then continued to hold a Post-doctoral research fellow post before being appointed as a lecturer in genetics at the School of Animal, Rural and Environmental Sciences at Nottingham Trent University in 2018.
Dr Blanchard returned to the School of Veterinary Medicine and Science in 2019 and has become an Associate Professor in Computational Biology alongside being the course director for the MRes Apprenticeship in Bioinformatics.
Dr Blanchard specalises in microbial genomics, gene essentiality, host pathogen interactions and metagenomics.
Dr Blanchard is a fellow of the Higher Education Authority and currently teaches bioinformatic methods covering Linux based software and downstream analyses and visulisation using R.
Dr Blanchard's research focuses on many aspects of animal health and disease. With particular interests in host pathogen interactions, microbial communities and antimicrobial resistance. He also… read more
Dr Blanchard's research focuses on many aspects of animal health and disease. With particular interests in host pathogen interactions, microbial communities and antimicrobial resistance. He also specialises in bioinformatics, working with data generated by all modern sequencing technologies. He currently works with national and international specialists in production animal disease, with a focus on sustainability, and is expanding into exotic and companion animal health and welfare. Current projects investigate essential genes for vaccine target identification for various production animal pathogens, environmental antimicrobial resistance and transmission to humans and the co-infections of viral and bacterial species.
Dr Blanchard plans to further investigate how microbial communities interact and how antimicrobial resistances can be correlated with specific species of bacteria.
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