Report summary

The 2022-2026 picture for Harvard University Department of Biostatistics is a 74-PI network with 99 internal PI collaborations. The main research signal is Medicine as the leading field (21% of slots across 30 PIs; 30 labels), Statistics and Probability as the leading subfield (13% of slots across 22 PIs; 22 labels), and Advanced Causal Inference Techniques as the leading topic (5% of slots across 10 PIs; 10 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 Tyler J. VanderWeele (37.1 weighted works; Health disparities and outcomes, Psychological Well-being and Life Satisfaction); Frank B. Hu (32 weighted works; Nutritional Studies and Diet, Obesity, Physical Activity, Diet). The clearest collaboration lines are Frank B. Hu and Walter C. Willett (70 shared works, weight 16.4); Jessica Lasky‐Su and Rachel S. Kelly (39 shared works, weight 13.3). The leading breakdown groups are group 1 with 10 PIs, 12 internal connections, weight 46.2, around Statistics and Probability, Health, Toxicology and Mutagenesis, Public Health, Environmental and Occupational Health, led by Frank B. Hu, Walter C. Willett, Molin Wang.