I am a mechanical engineer with a robust background in computational techniques, machine learning, and data analysis. I have an MSc in Manufacturing Management from Ulster University, where I developed skills in combining finite element analysis (FEA) and machine learning-based solutions for healthcare sectors. My background is more than five years of CAE engineering experience within the automotive sector. As a current PhD candidate, I am now interested in designing AI and computational methods for solving complicated problems using digital health technologies.

My research interests are in combining computational modelling and machine learning for biomedical engineering. I am particularly interested in AI-driven predictive healthcare solutions such as early detection of cardiac conditions and treatment optimisation using computational methods.  I aim to contribute to the development of computational tools that bridge the gap between engineering and medicine. I am interested in creating innovative data-driven solutions that maximize patient outcomes and enhance surgical planning.