Biomedical Data Analytics News

My career journey

After previously training and working in civil engineering, I decided to change track in 2021 and start an MSc degree in Computer Science at the University of Warwick. There, I undertook a dissertation project on predicting protein function for countering antimicrobial resistant (AMR) bacterial infections, which was supervised by Fayyaz Minhas (Associate Professor in the TIA Centre) and went on to be awarded the department prize for Best MSc Dissertation. Through this experience, I realised that by focusing on medical AI, I could follow my interest in Computer Science and contribute to the development of important real-world applications. I therefore decided to continue with medical AI research at the PhD level and, with Fayyaz as my supervisor once again, began working on histology imaging in collaboration with the medical school.

My current work

My PhD work focuses on endometrial tissue, examining the causes of recurrent pregnancy loss. By analysing histology images, we can find patterns which gives a cost-effective, rapid, and scalable approach to assessing key biomarkers, enabling real-time clinical decision-making, paving the way for more personalized and effective reproductive care. At the moment, as well as finishing a final journal paper, I am preparing my thesis to submit this summer.

Highlights

2025: Published a paper at ICCV in Hawaii entitled “Endonama: Graph Neural Networks based In-Silico Transcriptomics from Histology Whole Slide Images for Fertility Diagnostics".

2025: Won runner-up best paper at MIUA Frontiers in Computational Pathology special session for segmentation model “ASTER: Automated Segmentation of Endometrial Histology Images for Reproductive Health Assessment".

My hobbies and interests

Outside of work, I enjoy weekly climbing sessions with TIA colleagues past and present, park runs (when it’s not raining!) and watching rugby, as well as seeing friends and family in Staffordshire.

My favourite quote