Enya Scanlon | Queen's University Belfast

After graduating with a BSc (Hons) Microbiology and MRes Translational Medicine with Bioinformatics and recently completing my PhD in Bioinformatics in Cancer Research, I’m currently working as a post-doctoral research fellow in translational bioinformatics, combining molecular bioinformatics, biostatistics, statistical genetics and clinical informatics.

I specialise in biomarker discovery and molecular subtyping techniques used to characterise novel, clinically relevant patterns in genomic data associated with early detection, patient treatment response and survival across various cancer types with a focus on inflammation and immune oncology. I work within the Upper GI Cancer Research Group at Queen’s University Belfast focusing on oesophageal cancer progression from Barrett’s oesophagus after finishing my PhD in Bioinformatics determining risk pathways from ulcerative colitis to colorectal cancer. I supervise undergraduate biomedical science students and MSc Bioinformatics and Computational Genomics students for research projects in addition to supervising and mentoring PhD students in various cancer types including inflammatory pathways to cancer, bladder cancer, acute myeloid leukaemia and pan-cancer projects. My work focuses on developing statistical algorithms, machine learning techniques, software tools and analytical pipelines for multi-omic data analysis to reveal biological insights in disease progression and drug resistance which can be translated to clinical interventions to improve disease outcomes in cancer patients. I enjoy utilising my skill set to upskill and encourage future generations of STEM women to achieve their goals in scientific research, bioinformatics and other tech related disciplines, growing their confidence and technical experience while nurturing their independence.