ABOUT Lab

The Medical Data Science Lab is a multidisciplinary research group at the forefront of biomedical innovation, integrating data science, artificial intelligence (AI), and computational biology to address some of the most pressing challenges in medicine and healthcare. Our mission is to harness the power of data-driven technologies to accelerate discoveries in disease mechanisms, diagnostics, therapeutics, and personalized medicine.

We specialize in Multi-Omics Data Integration, Machine Learning Model Development, Drug Discovery, and Host-Pathogen interaction studies. Our lab's work spans diverse disease domains, including infectious diseases, cancer, neurodegenerative disorders, and metabolic syndromes. We combine cutting-edge computational tools with rich biological datasets to generate actionable insights that support translational research and precision medicine.

The lab maintains active collaborations with clinicians, biologists, and international research institutions, enabling a dynamic and translational approach to scientific exploration. Recent projects include AI-based prediction of protein-protein interactions, structure-based drug repurposing, and foundational model development for molecular design.

Our team comprises researchers from varied backgrounds, including bioinformatics, computer science, biostatistics, and molecular biology. We also emphasize capacity building and mentoring, offering training in programming, computational methods, and real-world problem-solving in biomedical contexts. At the Medical Data Science Lab, we are committed to creating impactful, open, and reproducible science that bridges the gap between computation and clinical application.