The University of California, Los Angeles (UCLA) has been awarded a $428,448 Project Grant under the National Institutes of Health (NIH) Human Genome Research program (CFDA 93.172). The award, with a project period from September 2023 to August 2025, will fund the development of a novel contrastive learning method to identify biologically and clinically relevant disease subtypes from electronic health record (EHR) data. The goal is to advance precision medicine by uncovering meaningful...
This $616,000 Project Grant from the National Science Foundation (NSF) Division of Computing and Communication Foundations, under the CFDA program "Computer and Information Science and Engineering", supports research at the California Institute of Technology (Caltech) to address algorithmic and information-theoretic challenges in causal inference. The key objectives are to: Increase the range of applicability of causal inference methods by developing new algorithms and sample...
The National Science Foundation awarded $150,000 to Regents of the University of California at Riverside under the Mathematical and Physical Sciences program (CFDA 47.049) from July 1, 2023 to June 30, 2026. The Project Grant funding will support research to develop new statistical methodologies and deep learning techniques for uniformly estimating causal effects of continuous treatments using large observational health data sets. Specifically, the university will design neural network...
The National Science Foundation (NSF) awarded a $800,000 Project Grant under the Computer and Information Science and Engineering (CFDA 47.070) program to the University of California, Los Angeles (UCLA) - Office of Research Administration. The grant, titled "COLLABORATIVE RESEARCH: III: MEDIUM: VIRTUALLAB: INTEGRATING DEEP GRAPH LEARNING AND CAUSAL INFERENCE FOR MULTI-AGENT DYNAMICAL SYSTEMS", will fund the development of a virtual laboratory framework to model and predict the...
This $138,428 project grant from the National Science Foundation's Computer and Information Science and Engineering program (CFDA 47.070) will support the development of computationally tractable structured hierarchical models to identify complex genetic associations hidden from current methods. The grantee, J. David Gladstone Institutes, will analyze genomic and clinical trait data using machine learning to build predictive models for individualized disease risk assessment and personalized...
The University of California, Los Angeles (UCLA) was awarded a $300,000 Project Grant from the National Science Foundation (NSF) to support research under the Biological Sciences program (CFDA 47.074). The two-year grant will fund UCLA researchers to better understand the genomes and strain mutations of SARS-CoV-2, the virus that causes COVID-19, as well as other viruses. Using comparative and population genetics approaches, the researchers will gain insights that enhance scientific...
This National Science Foundation project grant of $281,469 will fund research at the University of Colorado Denver from August 2022 through July 2025 to advance causal inference methods for heterogeneous data fusion. Specifically, the award will support developing new approaches to empirically estimate associations and perform causal inference when individual-level data cannot be obtained due to privacy or logistical constraints. The research aims to extend statistical methodologies to...
This $100,000 Project Grant from the National Science Foundation Office of Advanced Cyberinfrastructure, under the Computer and Information Science and Engineering federal grant program (CFDA 47.070), will support the University of California, Los Angeles in developing a detailed plan for a high-performance GPU computing cluster to address computational needs in biomedical research. Specifically, the university will identify representative science use cases and users, determine standards for...
The University of California, Los Angeles was awarded a $500,000 project grant from the National Science Foundation Division of Computer and Network Systems. The grant supports research titled "CNS CORE: SMALL: OFFLINE INFERENCE FOR ULTRA-EFFICIENT MEMORY MANAGEMENT" from October 1, 2021 to September 30, 2024. The grant funds research into offline inference techniques to improve memory management efficiency in computing systems. This work aligns with the goals of the Computer and...
This $462,500 Project Grant award, provided by the National Science Foundation (NSF) under the Computer and Information Science and Engineering program (CFDA 47.070), supports the development of advanced causal inference methods for data-driven decision making. Key products and services to be delivered include: Automated and robust causal AI systems that integrate machine learning and causal inference techniques to enable more decision-makers to leverage causal analysis. The project will...