Moiz Khan Sherwani

I am a Machine Learning / Data scientist and computational biologist working at the intersection of artificial intelligence, multi-omics data integration, and translational medicine. My research focuses on developing scalable AI methods to analyze complex biomedical datasets and uncover clinically relevant patterns. I work on multimodal modeling approaches that integrate clinical, imaging, and molecular data to improve disease prediction and enable personalized medicine. My work also emphasizes reproducible computational pipelines, privacy-preserving analytics, and collaborative research across international biobank infrastructures.

• Artificial Intelligence for biomedical and clinical data
• Multi-omics data integration and systems biology
• Graph Neural Networks and deep learning for biological networks
• Federated learning and privacy-preserving AI for healthcare
• Synthetic data generation for biomedical research
• Computational approaches for cardiovascular disease prediction
• Translational bioinformatics and precision medicine

I teach advanced topics in biomedical data science and machine learning, focusing on the application of AI methods to biological and clinical datasets. My teaching includes lectures, workshops, and supervision of graduate-level projects. I actively supervise master’s theses and co-supervise PhD students, supporting interdisciplinary research in computational biology, AI, and multi-omics analysis.