MD, PhD, Principal investigator
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MD, PhD, Senior research Pathologist
My primary research focus is prediction and prognostication of ovarian cancer using a large retrospective cohort of high grade serous carcinoma. We are using machine learning and image analysis of H&E slides to identify novel prognostic indicators, and combining molecular data with image analysis and immunohistochemistry with the aim of identifying novel predictive markers. I am also involved in an immunohistochemistry/immunofluorescence project investigating a potential stem cell niche in high grade serous carcinoma.
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M.D., Pathologist, PhD student in Clinical research doctoral program
I am focusing on Digital Pathology and Artificial Intelligence (AI) development. My main activity currently, is to compile and design high quality datasets for AI research purposes. These datasets include histopathology Whole Slide Images (WSI) combined with relevant clinical metadata.
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MD, PhD student
My research focuses on identifying novel biomarkers for high-grade serous carcinoma to improve patient stratification. I use tissue-based technologies such as immunohistochemistry and in situ hybridization (ISH) to discover potential markers and establish a prognostic marker panel. I am particularly interested in applying digital pathology tools for image analysis because of their potential to advance research and diagnostics. In collaboration with Aiforia, I developed an ISH signal quantification tool tailored to our patient cohort, delivering rapid quantitative results while reducing reliance on subjective human interpretation. Since 2024, I have been funded by the iCANDOC PhD program.
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MSc, Molecular Genetics, PhD student
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MSc, Cell biologist
I am focusing on RNA in situ hybridization, multiplex immunostaining, and digital imaging.
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Research Technician
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