Noorish Hassan

Master’s student in Informatics at Universität des Saarlandes.

I am a Master’s student in Computer Science at Universität des Saarlandes with research interests in data mining, machine learning, quantum computing, and human-centered computational systems. I am particularly interested in methods that move beyond prediction alone and instead produce structured, interpretable, and theoretically meaningful insights from complex data.

My work so far has included causal pattern mining in large-scale health insurance survey data, where I explored explainable approaches for understanding behavioral drivers of switching, as well as applied machine learning for medical imaging in my bachelor’s thesis on brain hemorrhage detection and segmentation. I am also interested in computational approaches to language, culture, and literature, especially where pattern discovery and representation can help uncover deeper structural relationships.

More broadly, I am drawn to research that combines rigor with interpretability: pattern mining, algorithmic data analysis, explainable AI, and emerging directions in quantum computing. I am especially motivated by questions that sit between technical depth and real human relevance.