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My career journey

My interest in computational pathology developed after completing my PhD, when I was looking for a way to apply my AI expertise to real-world healthcare problems with meaningful impact. I was strongly motivated by using machine learning to address clinically relevant challenges, where interpretable methods can directly contribute to improving patient care. This led me to pursue a research career in computational pathology, where it sits at the intersection of AI and translational research. I was particularly drawn to the TIA Centre because of its strong culture of collaboration with clinicians and industry partners, and its focus on generating research that addresses real clinical needs. Since joining the TIA Centre, I have contributed to multiple projects and collaborated on large clinical trials, allowing me to see a direct translation of computational research into real-world clinical applications. In addition, attending seminars and workshops and engaging with leading experts in histopathology has been highly formative, reinforcing that I am working within a world-leading research environment and at the forefront of the field.

My current work

My current work at the TIA Centre focuses on developing AI methods for histopathology image analysis. My research interests include deep learning for detection and segmentation in whole-slide images, biomarker quantification, and cell-level registration. Notable projects include developing models for detection and segmentation of cell protein markers in multiplex immunofluorescence data for the trial, renal glomerulus segmentation and analysis for the project, and the analysis of tumour-infiltrating lymphocyte (TIL) scores for the trial.

My hobbies and interests

In my spare time, I enjoy science-fiction and future-themed films, preferably watched from the sofa with my partner and our lovely cat, who remains unimpressed by both the plots and my film choices!

My favourite quote

By Behnaz Elhaminia