I'm an incoming PhD researcher in Computer Science (AI) at Brunel University of London (Oct 2026–Sept 2029), supervised by Dr Matloob Khushi and Dr Alessandro Pandini. My background includes machine learning-informed analytics and Python-based automation. My research develops multi-modal, explainable AI (graph neural networks, transformers) integrating molecular, genomic, proteomic and clinical data to predict drug and chemical toxicity. I help industry address unreliable, black-box toxicity predictions using SHAP, attention visualisation and GNNExplainer for built-in interpretability. Open to sponsored research, funding, and collaborations involving real-world validation data.