The Bioinformatics and Integrative Genomics (BIG) Program enrolls PhD students with exceptional training in quantitative sciences and strong interest in biomedical applications. Research areas encompass computational analysis and mathematical modeling of data generated by DNA sequence, gene expression, structural, proteomics, and metabolite-assaying technologies. In applied projects, they may also include integration of clinical and population data from electronic health records. Both bioinformatics and genomics are tightly linked to the mathematical and biophysical modeling of complex biological systems and experimental validation of computational predictions. Graduate students will conduct original research in the development of novel approaches and new technologies to address fundamental biological questions, and they will acquire the skills to be leaders in the field of bioinformatics and genomics. Students will be joint members of BIG and a “home program” chosen from one of the four DMS programs (BBS, Immunology, Neuroscience, Virology). BIG students will follow the curriculum and participate in activities of the home program, which will be supplemented with BIG programmatic and curricular offerings.