Course Director: Paul Avillach
Open to all Harvard and MIT students. To enroll, email CV and brief statement of interest to Aimee Smith.
The real value in biomedical research lies not in the scale of any single source of data, but in the ability to integrate and interrogate multiple, complementary datasets simultaneously. This course will dive into methods about combining clinical and genomics data across different scales and resolutions to enable new perspectives for essential biomedical questions. It will focus on the development of novel statistical methods and techniques for the integration of multiple heterogeneous clinical and epidemiological cohorts, including Electronic Health Records (EHRs). At the HMS Department of Biomedical Informatics we have built open-source technologies to integrate in these cohorts vast and multiple types of high-throughput phenotypic and genotypic data. The students will use those tools during the problem sets with real patient data to learn the process towards making new biomedical discoveries.