Report summary

The 2015-2026 picture for University of Rochester Department of Biostatistics and Computational Biology is a 22-PI network with 19 internal PI collaborations. The research center of gravity is Mathematics as the leading field (29% of slots across 11 PIs; 11 labels), Statistics and Probability as the leading subfield (26% of slots across 10 PIs; 10 labels), and Statistical Methods and Inference as the leading topic (11% of slots across 7 PIs; 7 labels). This is a solid, readable collaboration map: group-level fit matters more than a single department-wide label. The top weighted PIs are Amit K. Chowdhry (20.1 weighted works; Data Analysis with R, Statistical Methods in Clinical Trials). The strongest pairings are Ashkan Ertefaie and Brent A. Johnson (5 shared works, weight 3.2); Daniel L. Weller and Tanzy Love (8 shared works, weight 3). The standout breakdown groups are group 1 with 10 PIs, 13 internal connections, weight 9.6, around Molecular Biology, Statistics and Probability, Atomic and Molecular Physics, and Optics, led by Juilee Thakar, Xing Qiu, Gaurav Sharma.