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For Harvard University Department of Biostatistics in 2021-2023, the graph shows 58 visible PIs and 76 internal PI collaborations. The dominant subject mix is Medicine as the leading field (24% of slots across 26 PIs; 26 labels), Statistics and Probability as the leading subfield (12% of slots across 16 PIs; 16 labels), and Statistical Methods and Bayesian Inference as the leading topic (5% of slots across 9 PIs; 9 labels). That is a healthy pattern, with enough links to reveal several interpretable groups rather than one undifferentiated component. The top weighted PIs are Walter C. Willett (25.5 weighted works; Nutritional Studies and Diet, Obesity, Physical Activity, Diet). The most visible ties are Jessica Lasky‐Su and Rachel S. Kelly (37 shared works, weight 11.3). The standout breakdown groups are group 1 with 10 PIs, 10 internal connections, weight 31.5, around Statistics and Probability, Molecular Biology, Physiology, led by Walter C. Willett, Molin Wang, Bernard Rosner.

Harvard Biostatistics Faculty Co-authorship Network - 58 PIs, 76 collaborations | ProfessorNet