Published Works

Analysis

Reprogramming the PFAS Problem with AI

How protein language models and the young scientists who use them can embed experimentation into today’s rigid biotech culture.

Grow by Ginkgo

Attribution Intelligence

As synthetic biology barrels forward, its biosafety counterparts must keep up.

Grow by Ginkgo

News Stories

Study finds youth-onset diabetes is a genetically distinct form of the disorder

Researchers suggest diabetes exists in multiple forms on a spectrum of varying genetic factors and symptoms.

Broad Institute of MIT and Harvard

*Republished by Harvard Medical School

Researchers roll out a more accurate way to estimate genetic risks of disease

Two new approaches for generating polygenic scores demonstrate that compiled data improves score accuracy.

Broad Institute of MIT and Harvard

De-risking drug discovery with predictive AI

A suite of new machine learning models can estimate the safety of potential new drugs.

Broad Institute of MIT and Harvard

Press Releases

Largest and most diverse genome-wide association study of type 2 diabetes reveals new genetic factors

By studying a diversity of participants, scientists find nearly 150 new locations in the genome linked to type 2 diabetes risk.

Broad Institute of MIT and Harvard

Profiles and Q&As

WhyIScience Q&A: A software engineer develops computational tools for psychiatric and brain research

Khalid Shakir talks about his work analyzing large single-cell datasets, his excitement around AI, and the importance of mentorship and community in science. 

Broad Institute of MIT and Harvard

A close research partnership with African scientists helps solve the mystery of malaria-like illnesses

Two scientists discuss how they used genetic sequencing to identify causes of malaria-mimicking infections in Senegal.

Broad Institute of MIT and Harvard

#WhyIScience Q&A: A biochemist uses mass spectrometry to find proteins involved in cancer

Khalid Shakir talks about his work analyzing large single-cell datasets, his excitement around AI, and the importance of mentorship and community in science. 

Broad Institute of MIT and Harvard