WORK

Here is a 2 minute animation summarising my PhD research!



Research Outputs

Publications

  • Jackson, H. et al. [2022] Characterisation of the blood RNA host response underpinning severity in COVID-19 patients. Scientific Reports 12 12216, doi: 10.1038/s41598-022-15547-2
  • Mehta, R., Chekmeneva, E., Jackson, H. et al. [2022] Antiviral metabolite 3′-deoxy-3′,4′-didehydro-cytidine is detectable in serum and identifies acute viral infections including COVID-19. Med . doi: 10.1016/j.medj.2022.01.009
  • Jackson, H., Menikou, S., Hamilton, S., McArdle, A. et al. [2021] Kawasaki Disease Patient Stratification and Pathway Analysis Based on Host Transcriptomic and Proteomic Profiles. Int. J. Mol. Sci. 22, 5655. doi: 10.3390/ijms22115655
  • Wang, X., Nijman, R., Camuzeaux, S., Sands, C., Jackson, H. et al. [2019] Plasma lipid profiles discriminate bacterial from viral infection in febrile children. Scientific Reports, doi: 10.1038/s41598-019-53721-1

  • Conferences

  • Oral Presentation, ESPID 2022: The identification and cross-platform validation of a host gene expression signature for differentiating between MIS-C and other infectious and inflammatory diseases.
  • Oral Presentation, The 13th International Kawasaki Disease Symposium, 2021: Kawasaki Disease Patient Stratification and Pathway Analysis Based on Host Transcriptomic and Proteomic Profiles.
  • Poster Presentation, The 13th International Kawasaki Disease Symposium, 2021: Whole blood host RNA-sequencing offers an in-depth understanding of MIS-C and identifies biomarkers with diagnostic potential.
  • Poster Presentation, Multiomics to Mechanisms - Challenges in Data Integration 2021, EMBL Heidelberg (virtual): Whole blood host RNA-sequencing offers an in-depth understanding of MIS-C and identifies biomarkers with diagnostic potential.
  • Poster Presentation, ESPID 2021: Whole blood host RNA-sequencing offers an in-depth understanding of MIS-C and identifies biomarkers with diagnostic potential. Won prize for best poster at ESPID 2021.
  • Oral Presentation, ESPID 2021: Kawasaki Disease Patient Stratification and Pathway Analysis Based on Host Transcriptomic and Proteomic Profiles.
  • Oral Presentation, Crick-Imperial Postgraduate Symposium, February 2021: "Exploring paediatric infectious diseases through host ‘omic datasets". 3rd best presentation prize.
  • Oral Presentation, ESPID 2020: Identification of novel protein blood biomarkers using a multi-platform approach to distinguish between bacterial and viral infections in febrile children.
  • Poster Presentation, Multiomics to Mechanisms - Challenges in Data Integration 2019, EMBL Heidelberg: Using multi-omics to diagnose the cause of fever in children.
  • Education and Research Placements

  • Alan Turing Institute. Enrichment Scheme/Engage@Turing Scheme [Virtual]. December 2020 - present.
  • Imperial College London, Faculty of Medicine. PhD in Bioinformatics.
    October 2018 - present.
  • Imperial College London, Faculty of Life Sciences. MSc. Bioinformatics and Theoretical Systems Biology. September 2017 - September 2018.
  • The University of Manchester. BSc. Biology (Hons).
    September 2013 - July 2016.

    Funding and Awards

  • Wellcome Trust 1+3 PhD programme in Bioinformatics and Theoretical Systems Biology, 2017-2021
  • Anne-Marie Buckle Memorial Prize: Best Final Year Project in the Faculty of Life Sciences 2015/2016, University of Manchester
  • JP Dancer Memorial Prize: Best Final Year Project in Biology 2015/2016, University of Manchester
  • ABOUT

    I am a recent PhD Graduate from Imperial College London in the Department of Medicine, Section of Paediatric Infectious Diseases. I submitted my PhD thesis in July 2022. My thesis was titled: "Using host “omic” datasets to better understand and diagnose paediatric infectious and inflammatory disease." My PhD was supervised by Dr. Myrsini Kaforou, Dr. Jethro Herberg and Prof. Mike Levin. My PhD was funded by the Wellcome Trust as part of the Wellcome Trust PhD Programme in Bioinformatics and Theoretical Systems Biology at Imperial College London.

    My PhD thesis focused on using omic datasets to understand and diagnose paediatric infectious diseases. In my PhD, I used bioinformatic approaches to identify novel biomarkers for diagnosing bacterial and viral infections and to explore the heterogeneity in the host response during disease. My research is highly interdisciplinary, spanning aspects of statistics, machine learning, biology, bioinformatics and medicine.

    Prior to starting my PhD in 2018, I completed an MSc. in Bioinformatics and Theoretical Systems Biology at Imperial College London and an undergraduate degree in Biology at The University of Manchester.

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