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The last twenty years have seen transformative changes in biology and medicine, fueled by breakthroughs like high-dimensional phenotyping, next-gen sequencing, macromolecular structure analysis, advanced imaging, wearable sensors, and extensive digital health records. These innovations require sophisticated computational methods, leading to the emergence of Computational Biology and Biomedical Informatics. Yale's Computational Biology and Biomedical Informatics Track offers diverse research training across biological, medical, computational, statistical, and mathematical disciplines. Each student's path is uniquely tailored—with faculty guidance—to create a customized curriculum of courses, independent study, and research aligned with their expertise, aspirations, and professional objectives.