What research areas does the Broad Institute focus on?

Updated

The Broad Institute is a nonprofit biomedical research center that organizes its work around six named research areas: artificial intelligence (AI) and machine learning; chemical biology and therapeutics science; genome regulation, cellular circuitry, and epigenomics; immunology; medical and population genetics; and metabolism. It also lists brain health among its research areas. If you want to know whether Broad's work overlaps with your own interests, the quickest test is to match your field against those six areas and then check whether the institute also lists a matching disease area or technology area, since Broad presents its research under all three lenses.

The six named research areas

Broad describes each area with a short statement of purpose. The table below summarizes what the institute says about each one.

Research area Stated focus
Artificial intelligence (AI) and machine learning Breakthroughs in AI converge with biomedicine to drive advances in both fields
Chemical biology and therapeutics science A diverse research community engaged in innovative chemical biology and therapeutic research
Genome regulation, cellular circuitry, and epigenomics Charting the molecular elements that define and regulate the cell
Immunology Defining the immune cells and pathways that regulate physiologic and pathologic processes
Medical and population genetics Establishing the roles of genomic variations in human traits and disorders
Metabolism Deciphering the metabolic basis of rare and common human diseases

Brain health also appears in the same research-area listing, though the excerpt provided does not include its full description.

How the areas are organized

Broad does not present these as isolated departments. Its site groups research under three overlapping categories:

  • Research areas — the six listed above, plus brain health.
  • Disease areas — the conditions the institute works on.
  • Technology areas — the tools and methods it develops.

That structure matters if you are trying to locate a specific project. A single effort, such as understanding how genetic variants cause disease, can sit at the intersection of medical and population genetics, AI and machine learning, and a disease area at the same time. Broad describes itself as a multidisciplinary community of researchers, and the site's own example — an atlas of immune cells explaining how genetic variants cause disease — shows immunology and human genetics converging in one project.

What this means if you are evaluating Broad

  • If your interest is computational, the AI and machine learning area is the explicit entry point, and it is framed as advancing both AI and biomedicine rather than applying AI as a service to biology.
  • If your interest is therapeutic development, chemical biology and therapeutics science is the relevant area, described as fostering research engaged in chemical biology and therapeutic research.
  • If your interest is fundamental genomics, genome regulation, cellular circuitry, and epigenomics covers the molecular elements that regulate the cell, while medical and population genetics covers how genomic variation relates to human traits and disorders.
  • If your interest is a specific disease, start from the disease areas listing rather than the research areas, then trace back to the research and technology areas involved.

One caveat: the excerpt available here covers the research-area names and their short descriptions, but not the full disease-area or technology-area lists. To judge fit precisely, check those two listings directly on the site.