Computational Modeling Core

NIH RePORTER · NIH · U19 · $227,714 · view on reporter.nih.gov ↗

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
LUNDQUIST INSTITUTE FOR BIOMEDICAL INNOVATION AT HARBOR-UCLA MEDICAL CENTER
Principal Investigator
Aaron Samuel Meyer
Activity code
U19
Funding institute
NIH
Fiscal year
2023
Award amount
$227,714
Award type
1
Project period
2023-08-10 → 2028-05-31