NSF #2503494
ATD: Statistical and Machine Learning Methods for Studying the Dynamics of Weather and Climate Extremes
- Amount
- $380K
- Period
- 2024-12-01 → 2026-07-31
- PIs
- 1
- Est. capacity / PI
- ~0 students
Awarded at Washington University
Cancer Immunotherapy and Biomarkers · Oncology
5 total · 5 active
NSF #2503494
Awarded at Washington University
NSF #2514175
Awarded at Villanova University
NSF #2423869
Awarded at Villanova University
Student capacity is a rough estimate from remaining award size, split equally among PIs. Actual funding decisions vary.
Direct collaborators. Node size = influence, colour = community, dashed = past collaboration.
The Journal of Immunology · 2025-11-01
Quantitative and large-scale investigation of human TCR-HLA cross-reactivity
Science Advances · 2025-10-24 · 4 citations
PLoS Computational Biology · 2025-06-23
Cell-based immunotherapies for solid tumors: advances, challenges, and future directions
Frontiers in Oncology · 2025-04-28 · 16 citations
International Journal of Molecular Sciences · 2025-04-08 · 3 citations
Frontiers in Immunology · 2025-04-07
Molecular Therapy · 2025-02-04 · 10 citations
Research Square · 2025-01-30
Cultural Experience and Confusion Study of International Students in Chinese Universities
International Journal of Social Science and Humanity · 2025-01-01
Biology Direct · 2024-11-29 · 6 citations
Frontiers in Oncology · 2024-11-11 · 1 citations
Interpretable GWAS by linking clinical phenotypes to quantifiable immune repertoire components
Communications Biology · 2024-10-20 · 2 citations
Quantifiable blood TCR repertoire components associate with immune aging
Nature Communications · 2024-09-17 · 16 citations
Quantifiable Blood TCR Repertoire Components Associated with Immune AgingPreprint
bioRxiv (Cold Spring Harbor Laboratory) · 2024-07-19