# Administrative Core

> **NIH NIH P01** · ROCKEFELLER UNIVERSITY · 2022 · $552,128

## Abstract

ABSTRACT – ADMINISTRATIVE CORE
 The Administrative Core will provide organizational and administrative support to facilitate all tasks that
interface with the four labs leading the research projects and the scientific core. The administrative core will
include Dr. Theodora Hatziioannou as Core Leader, the Administrative Assistant and a Research Scientist in
her joint lab with Dr Paul Bieniasz (Project 2), and administrative assistants in the labs of Drs Michel
Nussenzweig and Marina Caskey (Project 1), Dr Pamela Bjorkman (Project 3), and Drs Charlie Rice and Peggy
MacDonald (Scientific Core). The Administrative Core will 1) organize the overall project and 2) coordinate the
interactions within the labs and 3) coordinate interaction with outside collaborators and the broader scientific
community. This includes arranging formal communications among investigators, preparing protocol
submissions and annual renewals to the Institutional Review Boards, coordinating material transfer agreements,
preparing reports and manuscripts, monitoring budgets, planning annual meetings and monthly conference calls,
and generally overseeing the scientific and administrative needs of the Program Project. In addition, the
Administrative Core staff will assist in the effective sharing of data by maintaining shared web-based files.

## Key facts

- **NIH application ID:** 10327990
- **Project number:** 1P01AI165075-01
- **Recipient organization:** ROCKEFELLER UNIVERSITY
- **Principal Investigator:** Theodora Hatziioannou
- **Activity code:** P01 (R01, R21, SBIR, etc.)
- **Funding institute:** NIH
- **Fiscal year:** 2022
- **Award amount:** $552,128
- **Award type:** 1
- **Project period:** 2022-01-03 → 2025-12-31

## Primary source

NIH RePORTER: https://reporter.nih.gov/project-details/10327990

## Citation

> US National Institutes of Health, RePORTER application 10327990, Administrative Core (1P01AI165075-01). Retrieved via AI Analytics 2026-05-24 from https://api.ai-analytics.org/grant/nih/10327990. Licensed CC0.

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