# Computational Modeling Core

> **NIH NIH U19** · LUNDQUIST INSTITUTE FOR BIOMEDICAL INNOVATION AT HARBOR-UCLA MEDICAL CENTER · 2023 · $227,714

## Abstract

SUMMARY/ABSTRACT
The Computational & Predictive Modeling Core (CPM) will provide state-of-the-art machine learning and
data integration methodologies to enable the analysis, interpretation, and predictive modeling of the data
created within the other Cores and Projects. To accomplish this, the Core will: (i) develop novel computational
modeling frameworks towards predictive modeling of physiological processes with a multi-scale understanding
of outcomes, (ii) adapt and combine existing analysis techniques for use in the proposed studies, and (iii) work
closely with the other investigators to apply and then interpret the analysis results derived during the proposed
studies. A particular focus of the Core’s new methodologic development and modeling applications will be
multi-omic data integration across three dimensions: between molecular profiling technologies, across cohort
studies, and between experimental models and human infection. These activities will occur in close
collaboration with each Project, as evidenced by the Core’s involvement in nearly every Aim of the proposal.

## Key facts

- **NIH application ID:** 10551707
- **Project number:** 1U19AI172713-01
- **Recipient organization:** LUNDQUIST INSTITUTE FOR BIOMEDICAL INNOVATION AT HARBOR-UCLA MEDICAL CENTER
- **Principal Investigator:** Aaron Samuel Meyer
- **Activity code:** U19 (R01, R21, SBIR, etc.)
- **Funding institute:** NIH
- **Fiscal year:** 2023
- **Award amount:** $227,714
- **Award type:** 1
- **Project period:** 2023-08-10 → 2028-05-31

## Primary source

NIH RePORTER: https://reporter.nih.gov/project-details/10551707

## Citation

> US National Institutes of Health, RePORTER application 10551707, Computational Modeling Core (1U19AI172713-01). Retrieved via AI Analytics 2026-05-25 from https://api.ai-analytics.org/grant/nih/10551707. Licensed CC0.

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