Youssef Wally

I hold a Master of Science degree in Data Engineering and Analytics from the Technical University of Munich (TUM). Passionate about leveraging artificial intelligence in the medical domain, I have contributed to numerous AI research projects in healthcare and medicine, gaining extensive experience across various fields. Currently I am doing my PhD at UiT on advance representation learning techniques, with a particular emphasis on developing novel similarity measures and clustering methods. My research explores how relationships, extracted from complex datasets such as spatial omics, can capture intricate dependencies beyond pairwise interactions, offering a richer understanding of medical and biological data. Given the challenges posed by varying structures and labelled samples, my work aims to incorporate underlying semantic relationships through knowledge embeddings and non-Euclidean geometries. By leveraging these advanced techniques, seeking to develop more meaningful similarity measures that enhance the analysis of medical and healthcare data, ultimately contributing to improved predictive modelling and decision-making in clinical and biomedical applications.