| Awardee | Institution | Title | Award Number |
|---|---|---|---|
| Alan Boyle | University of Michigan | Predicting the impact of genomic variation on cellular states | HG011952 |
| Andrew S. Allen, Shayan Mukherjee, Charles D. Page Jr. | Duke University | Design, prediction, and prioritization of systematic perturbations of the human genome | HG011967 |
| Soumya Raychaudhuri, Alkes Price, Shamil Sunyaev | Brigham and Women’s Hospital, Harvard School of Public Health, Brigham and Women’s Hospital | Predicting the impact of genetic variants, genes and pathways on human disease | HG012009 |
| Predrag Radivojac | Northeastern University | Supporting IGVF by modeling genetics, function, and phenotype with machine learning | HG012022 |
| Mark Craven | University of Wisconsin | Linking variants to multi-scale phenotypes via a synthesis of subnetwork inference and deep learning | HG012039 |
| Zhiping Weng, Manuel Garber, Xihong Lin | University of Massachusetts Medical School, University of Massachusetts Medical School, Harvard School of Public Health | Predictive modeling of the functional and phenotypic impacts of genetic variants | HG012064 |
| Anshul Kundaje | Stanford University | Predicting context-specific molecular and phenotypic effects of genetic variation through the lens of the cis-regulatory code | HG012069 |