We develop statistical methods to characterize the genetic architecture of common disease. We are a part of the Harvard Medical School Department of Biomedical Informatics, and we are affiliated with the Broad Institute Program in Medical and Population Genetics.
You can read about our research, see our current and former lab members, and see a list of publications.
For prospective students and postdoctoral researchers, please click here.
News
Aug 2026
- Ajay Nadig's manuscript, Estimating the contribution of coding mutations to autism, was posted on medRxiv. Congratulations, Ajay!
- Pouria Salehi Nowbandegani's paper, Defining and cataloging variants in pangenome graphs, was published in Cell Genomics. Congratulations, Pouria!
Jul 2026
- Jay Baik has joined the lab as a Ph.D. student. Welcome, Jay!
- Hui Li's paper, Improved heritability partitioning and enrichment analyses using summary statistics with graphREML, was published in Nature Genetics. Congratulations, Hui!
- Pouria Salehi Nowbandegani received an NOA for his K99/R00 application titled “Unraveling Complex Disease Genetics Using Graphs and Graph Algorithms.” Congratulations, Pouria!
May 2026
- Amber Shen's manuscript, “Highly efficient genotype compression leveraging genealogical relatedness,” was posted on bioRxiv.
- Luke O'Connor's paper with Guy Sella, “Principled measures and estimates of trait polygenicity,” was published in The American Journal of Human Genetics.
- Luke O'Connor's preprint, “Self-Programmed Execution for Language-Model Agents,” was posted on arXiv.
- The lab welcomed a new rotating Ph.D. student from the BIG program, Daniel Feng. Welcome, Daniel!