Report summary

The 2015-2026 picture for Columbia University Department of Biomedical Informatics is a 34-PI network with 76 internal PI collaborations. The main research signal is Medicine as the leading field (28% of slots across 19 PIs; 19 labels), Molecular Biology as the leading subfield (12% of slots across 10 PIs; 10 labels), and Biomedical Text Mining and Ontologies as the leading topic (5% of slots across 5 PIs; 5 labels). That is a nice sign for applicants and collaborators, because the network has both density and separable local groups. The leading PI names are Chunhua Weng (73.7 weighted works; Biomedical Text Mining and Ontologies, Topic Modeling). The clearest collaboration lines are Rita Kukafka and Katherine D. Crew (31 shared works, weight 18.4). The leading breakdown groups are group 1 with 10 PIs, 11 internal connections, weight 60.2, around Molecular Biology, Artificial Intelligence, Health Information Management, led by Chunhua Weng, Nicholas P. Tatonetti, Lena Mamykina.