# Computation and Biostatistics Module

> **NIH NIH P30** · UNIVERSITY OF TEXAS HLTH SCI CTR HOUSTON · 2020 · $191,005

## Abstract

BIOSTATISTICS AND COMPUTATION MODULE
ABSTRACT
The Biostatistics and Computation Module (BCM) provides centralized resources and specialized services to
members of the Vision Research Group to support all investigator projects. The module provides statistical
consultation, mathematical, and computational support for NEI-funded investigators and their collaborators. In
addition, the BCM will cooperate with the Imaging Module to evaluate new analytical tools and new software
and hardware for image analysis. The module is staffed by an experienced biostatistician who works on a
daily basis with faculty involved in vision research, and a computer specialist with extensive training in
hardware and software design, image processing, computer graphics, and real-time data acquisition. The
module will provide vision scientists and their collaborating investigators with expert support to design
experiments and analyze data sets originating from anatomical, imaging, and electrophysiological experiments.
Module staff will develop mathematical models describing novel phenomena arising from vision research
projects, develop custom hardware and software, and provide support for devising and troubleshooting novel
systems and interfaces designed to accelerate data acquisition and processing.

## Key facts

- **NIH application ID:** 9975178
- **Project number:** 5P30EY028102-04
- **Recipient organization:** UNIVERSITY OF TEXAS HLTH SCI CTR HOUSTON
- **Principal Investigator:** VALENTIN DRAGOI
- **Activity code:** P30 (R01, R21, SBIR, etc.)
- **Funding institute:** NIH
- **Fiscal year:** 2020
- **Award amount:** $191,005
- **Award type:** 5
- **Project period:** — → —

## Primary source

NIH RePORTER: https://reporter.nih.gov/project-details/9975178

## Citation

> US National Institutes of Health, RePORTER application 9975178, Computation and Biostatistics Module (5P30EY028102-04). Retrieved via AI Analytics 2026-05-23 from https://api.ai-analytics.org/grant/nih/9975178. Licensed CC0.

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