Data Science Core supports big data, AI, and bioinformatics across PR-INBRE
Official title: Data Science Core
Funded at University of Puerto Rico Med Sciences · NIH-11333930 · Data updated 2026-11-12
A hub for data science and AI tools to help Puerto Rico researchers work with big biomedical data and collaborate more effectively.
Quick facts
| Grant type | NIH-funded research |
|---|---|
| Study type | NIH-funded research |
| Funding institution | University of Puerto Rico Med Sciences NIH-funded |
| Lab location | 1 site (San Juan, United States) |
| Project start | September 15, 2001 |
| Project end | June 30, 2031 |
| Funding year | 2026 |
| Award (this year) | $472,172 |
| NIH project number | 2P20GM103475-24 |
| Project ID | NIH-11333930 on NIH RePORTER |
Who could benefit from this research
✓Could help
Researchers, students, and clinicians within the PR-INBRE network who work with large biomedical datasets and computational analyses.
✕Less likely to help
Individuals seeking direct clinical interventions or trial participation may not be the primary focus of this grant.
What this research studies
The Data Science Core (DSC) is a multidisciplinary center designed to integrate data science, bioinformatics, and computational biology across the PR-INBRE network. It builds on BiCoP’s success and evolves into a Data Science Community of Practice with added AI, ML, training, and stronger collaborations. The Core is organized into three subcores: high-performance computing infrastructure, research and education support, and a microbiome-focused research subcore, all aimed at enabling efficient, cost-effective data-driven biomedical work. Led by experts from biology, bioinformatics, mathematics, and computer science, the DSC aims to empower researchers, educators, and students with the tools and partnerships needed for next-generation biomedical data science. The initiative emphasizes partnerships with NIH STRIDES and NSF ACCESS to expand access and training.
Why it matters
Potential benefit: If successful, patients could benefit indirectly through faster, data-driven discoveries in biomedical research conducted at PR-INBRE institutions.
How similar studies have gone: Previous data science collaborations in biomedical networks have shown improved research throughput and reproducibility, and this initiative aims to extend that success.
Where this research is happening
-
University of Puerto Rico Med Sciences
San Juan, United States Active
Researchers
- Principal investigator: Ortiz-Zuazaga, Humberto Guillermo — University of Puerto Rico Med Sciences
- Study coordinator: Ortiz-Zuazaga, Humberto Guillermo
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About this research
- This is an active NIH-funded research project — typically early-stage science, not a clinical trial accepting patient enrollment.
- Some NIH-funded labs run parallel clinical studies or seek volunteers for related work. To check, contact the principal investigator or institution listed above.
- For full project details, budget, and progress reports, visit the official NIH RePORTER page.