Report summary

For University of Pennsylvania Department of Biostatistics Epidemiology and Informatics Perelman in 2018-2020, the graph shows 62 visible PIs and 139 internal PI collaborations. The dominant subject mix is Medicine as the leading field (32% of slots across 39 PIs; 39 labels), Statistics and Probability as the leading subfield (8% of slots across 12 PIs; 12 labels), and Statistical Methods and Inference as the leading topic (3% of slots across 5 PIs; 5 labels). That is a healthy pattern, with enough links to reveal several interpretable groups rather than one undifferentiated component. The top weighted PIs are Jason H. Moore (22.8 weighted works; Evolutionary Algorithms and Applications, Gene expression and cancer classification). The most visible ties are Sean Hennessy and Charles E. Leonard (17 shared works, weight 9.3). The standout breakdown groups are group 1 with 9 PIs, 9 internal connections, weight 27.1, around Molecular Biology, Artificial Intelligence, Physiology, led by Jason H. Moore, Bonnie Ky, Yong Chen; group 2 with 9 PIs, 8 internal connections, weight 25.3, around Hepatology, Epidemiology, Infectious Diseases, led by Jordana B. Cohen, Peter P. Reese, Julia E. Szymczak.