Kasper Lage, Ph.D. (MGH/Broad, Surgery) leverages functional gene networks to computationally
interpret large genomic datasets with the aim of informing biology and medicine. Specifically, he has led
the development of algorithms and resources now used widely in the genetics and genomics communities
and in the 1000 Genomes Project. His lab is developing a general web platform for network-based
interpretation of large genomic datasets using machine learning and the newest visualization approaches.
He has also extensively applied those methods to particular biological problems and genetic datasets to
deduce networks driving congenital heart diseases, autoimmune disorders, and schizophrenia. Recently,
he initiated and led an international collaboration between a genetics consortium of 30 groups and a
proteomics center to integrate complex trait genetics data and to experimentally derive tissue-specific
protein-protein interaction networks in electrocardiographic phenotypes. This project has served as the
foundation to launch similar projects in psychiatric diseases, type 2 diabetes, myocardial infarction, and
across different cancers.