Sarah Morel
Thesis title: A multimodal approach to stratification and prognostication in metabolic dysfunction-associated steatotic liver disease (MASLD)
Precision Medicine DTP
Year of study: 1
- Translational Liver Research
- Centre for Inflammation Research (CIR)
Contact details
PhD supervisors:
Address
- Street
-
Institute for Regeneration and Repair
Edinburgh BioQuarter
4-5 Little France Drive - City
- Edinburgh
- Post code
- EH16 4UU
Background
During her undergraduate studies at the University of Manchester, Sarah actively sought exposure to diverse areas of biomedicine, gaining valuable experience through research internships in cardiovascular genetics, preclinical immunotherapy, cellular immunometabolism, or even rheumatology.
During her postgraduate studies at Imperial College London, Sarah joined Dr E. Triantafyllou's Liver Immunology Group and investigated novel immunomodulatory approaches in acute and chronic liver diseases, specifically assessing the ability of Pattern Recognition Receptor (PRR) mechanisms to regulate/reprogram liver macrophages' immune activity, especially anti-microbial, in mouse models for possible translational and therapeutical use in humans.
Prior to commencing her PhD studies in September 2024, Sarah worked as a Research Assistant at the University of Oxford's Translational Gastroenterology and Liver Unit under Prof P. Klenerman and Dr M. FitzPatrick, researching novel non-invasive circulating and tissue-specific biomarkers of both gastrointestinal epithelial damage and adaptive immune response in coeliac disease using targeted proteomic, transcriptomic, and immune-profiling techniques.
Qualifications
- BSc (Hons) Biology with Placement Year, The University of Manchester, First Class
- MSc Immunology, Imperial College London, High Merits
Research summary
Translational Hepatology, Immunology, Gastroenterology, Immunometabolism, Immunotherapy, Multi-Omics, Organoid Technology, Infectiology, Microbiome, Microbiology, Virology, Biomedical Innovation-Driven Entrepreneurship, Biobusiness