Precision Medicine: Integrating Clinical and Genomic Data

2 credits, Fall Semester

The real value in biomedical research lies not in the scale of any single data source, but in the ability to integrate and interrogate multiple complementary datasets simultaneously. This course will dive into methods 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 vast and multiple types of high-throughput phenotypic and genotypic data in these cohorts. The students will use those tools during the problem sets with real patient data to learn the process of making new biomedical discoveries.

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Paul Avillach

Paul Avillach, MD, PhD

Associate Professor of Biomedical Informatics, Harvard Medical School
Assistant Professor of Pediatrics, Boston Children's Hospital
Assistant Professor in the Department of Epidemiology, Harvard T.H. Chan School of Public Health

Avillach Lab


Alba Gutierrez, PhD

Instructor in Biomedical Informatics

Avillach Lab