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FY2026 NIH awards · Principal investigators

Biostatistics & Math Sciences at Brown University

Providence, RI

Funding
$2.1M
$2,097,926
Awards
6
FY2026 NIH awards in Biostatistics & Math Sciences
Principal investigators
9
4 lead a grant here, 5 co-investigators
Department rank
Not ranked
Outside the 27 ranked departments
  • NIH names only the principal investigators on an award, so this page lists only them. The department is the award's: it is where ScienceDex counts the award, not a list of the department's members.
  • These are the awards in the Biostatistics & Math Sciences row of the Brown University page.

Leads a grant in this department

4 contact PIs of these awards, by the funding they lead. Other principal investigators on an award are listed with it and under Co-investigators.

  1. Ani Eloyan

    Leads 1 award · $668,225

    • 5R01AG075511-05Department: NIH department code
      High-dimensional Modeling of PET for radiomic Biomarker Discovery
      $668,225
      award amount
  2. Joseph W Hogan

    Leads 2 awards · $639,792

    • 5R01AI167694-05Department: NIH department code
      Data Science for Decision Support in the HIV Care Cascade

      Principal investigators: Joseph W Hogan (contact PI), Ann Mwangi, Hamish Sf Fraser

      $473,818
      award amount
    • 3R01AI167694-05S1Department: NIH department code
      Data Science for Decision Support in the HIV Care Cascade

      Principal investigators: Joseph W Hogan (contact PI), Ann Mwangi, Hamish Sf Fraser

      $165,974
      award amount
  3. George Karniadakis

    Leads 2 awards · $600,725

    • 5R01HL154150-06Department: NIH department code
      Digital twins of the spleen to accelerate the design and development of new therapies in sickle cell disease

      Principal investigators: George Karniadakis (contact PI), He Li, Ming Dao, Pierre Buffet

      $459,785
      award amount
    • 3R01HL154150-06S1Department: NIH department code
      Digital twins of the spleen to accelerate the design and development of new therapies in sickle cell disease

      Principal investigators: George Karniadakis (contact PI), He Li, Ming Dao, Pierre Buffet

      $140,940
      award amount
  4. Larry Han

    Leads 1 award · $189,184

    • 7K01AI193070-02Department: NIH department code
      Causal Machine Learning Methods to Study Individual Vaccine Efficacy Using Multi-Source Data
      $189,184
      award amount

Co-investigators

Named as principal investigators on these awards, which someone else leads. They may belong to another department or institution: their own, below, comes from the awards they lead.

  • Ann Mwangi

    Co-investigator on 5R01AI167694-05, led by Joseph W Hogan; 3R01AI167694-05S1, led by Joseph W Hogan

    From the FY2025 awards this person leads

  • Hamish Sf Fraser

    Co-investigator on 5R01AI167694-05, led by Joseph W Hogan; 3R01AI167694-05S1, led by Joseph W Hogan

    From the FY2025 awards this person leads

  • He Li

    Co-investigator on 5R01HL154150-06, led by George Karniadakis; 3R01HL154150-06S1, led by George Karniadakis

    From the FY2026 awards this person leads

  • Ming Dao

    Co-investigator on 5R01HL154150-06, led by George Karniadakis; 3R01HL154150-06S1, led by George Karniadakis

    Own institution and department: not known. ScienceDex has no NIH award this person leads as contact PI.

  • Pierre Buffet

    Co-investigator on 5R01HL154150-06, led by George Karniadakis; 3R01HL154150-06S1, led by George Karniadakis

    Own institution and department: not known. ScienceDex has no NIH award this person leads as contact PI.