Researcher

Keywords

Biography

Ms Ashley L. Weir is a Research Associate in the School of Clinical Medicine at UNSW Sydney, where she investigates the molecular determinants of ovarian cancer progression and therapeutic response. She completed her PhD at the Walter and Eliza Hall Institute of Medical Research (WEHI) in the Bioinformatics Division, focusing on the functional consequences of genomic damage in high-grade serous ovarian carcinoma. From this investigation,...view more

Ms Ashley L. Weir is a Research Associate in the School of Clinical Medicine at UNSW Sydney, where she investigates the molecular determinants of ovarian cancer progression and therapeutic response. She completed her PhD at the Walter and Eliza Hall Institute of Medical Research (WEHI) in the Bioinformatics Division, focusing on the functional consequences of genomic damage in high-grade serous ovarian carcinoma. From this investigation, Ashley developed the open-access software tool IdentifiHR, the only gene-expression based predictive model of homologous recombination status in high-grade serous ovarian carcinoma. With approximately seven years of research experience spanning cancer biology, inflammation, and computational genomics, her work integrates experimental and computational approaches to understand tumour evolution and therapeutic vulnerability.

Ashley has led and contributed to large-scale international studies through the Ovarian Tumor Tissue Analysis Consortium, integrating gene expression, genomic, and clinicopathological data to identify prognostic biomarkers and predictors of homologous recombination deficiency. She has authored 13 peer-reviewed publications, including five first-author papers in leading journals such as British Journal of Cancer, Immunity, and EMBO Journal, with an H-index of 10 and over 450 citations.

Her research has been supported by competitive national and international funding, including recognition from the American Association for Cancer Research. In addition to her research, Ashley is an active educator and mentor, contributing to bioinformatics training at the University of Melbourne and supervising undergraduate and graduate students. She is passionate about interdisciplinary science, AI-driven biomedical research, and translating genomic insights into improved outcomes for patients with ovarian cancer.


My Grants

2025     Scholar-in-training award, awarded by the American Association for Cancer Research (AACR)

2024     Artificial Intelligence and Machine Learning PhD Scholarship top-up, awarded by the Walter and Eliza Hall Institute

2023     Travel scholarship, awarded for the European Molecular Biology Laboratory Australia PhD Symposium

2023     Research Training Program Scholarship

2022     CSL Translational Data Science Award

2022     Tour De Cure PhD Scholarship

2022-2023        Johnson PhD Scholarship, awarded by the Walter and Eliza Hall Institute

2021     Professional development grant, awarded by the Walter and Eliza Hall Research Assistant Association


My Qualifications

Feb, 2015 – Nov, 2019  Bachelor of Advanced Science (first class honours), UNSW 

Honours project: Candidate prognostic biomarkers in ovarian carcinoma

  • Undertaken in the Molecular Oncology group, UNSW Australia 
  • Supervised by Professor Susan Ramus and A/Professor Caroline Ford

May, 2022 – April, 2026    PhD candidate of the Davidson Laboratory, Bioinformatics Division, The Walter and Eliza Hall Institute (thesis submission in early February 2026).


My Awards

2024     Best oral “fast forward” presentation (2nd place), the Australian Bioinformatics and Computational Biology

Society (ABACBS) Symposium

2024     Best oral presentation, the 3rd Asian Student Council Symposium (ASCS)

2024     Best oral presentation (student), the Cancer Bioinformatics Australia (CBA) Symposium

2023     Best poster presentation, the Australian Bioinformatics and Computational Biology Student Society (COMBINE)Symposium

2023     Best oral presentation, Comprehensive Cancer PhD Symposium 

2022     Best poster presentation, Victorian Cancer Bioinformatics Symposium (VCBS)

2021     Nominee of UNSW Students’ Choice Teaching Award

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Publications

by Ms Ashley Lauren Weir