# Training Program in Hematopoietic Cell Transplantation

> **NIH NIH T32** · STANFORD UNIVERSITY · 2020 · $98,360

## Abstract

Project Summary/Abstract
The Program described in the grant application will train postdoctoral (predominantly MD or
MD/PhD) fellows who completed their clinical training and will be returning to the laboratory to
pursue their career goal of establishing themselves as independent medical research scientists
in the field of hematopoietic cell transplantation. The main applicant pool is individuals who
completed Fellowships in Blood and Marrow Transplantation, or Hematology/Oncology, yet
fellows from other clinical divisions or applications from PhD post-doctoral fellows whose
research has direct relevance to our field and who have displayed an excellent record of pre-
doctoral achievement are also encouraged to apply. Each year the training grant supports two
trainees who follow a core educational curriculum, and a highly structured mentoring program
that is focused on creating realistic individual development plans to enable their transition to
academic faculty with careers as independently funded researchers in the field. The active
growth of research into the biology of cellular and immunotherapy for treatment of cancer and
other diseases, and the translation of preclinical concepts to the clinical setting demands highly
trained physician scientists which justifies the unique focus of this training program.

## Key facts

- **NIH application ID:** 9881331
- **Project number:** 5T32HL007952-19
- **Recipient organization:** STANFORD UNIVERSITY
- **Principal Investigator:** Robert S Negrin
- **Activity code:** T32 (R01, R21, SBIR, etc.)
- **Funding institute:** NIH
- **Fiscal year:** 2020
- **Award amount:** $98,360
- **Award type:** 5
- **Project period:** 2001-09-01 → 2022-01-31

## Primary source

NIH RePORTER: https://reporter.nih.gov/project-details/9881331

## Citation

> US National Institutes of Health, RePORTER application 9881331, Training Program in Hematopoietic Cell Transplantation (5T32HL007952-19). Retrieved via AI Analytics 2026-05-27 from https://api.ai-analytics.org/grant/nih/9881331. Licensed CC0.

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