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Funding

 

Current Funding


Understanding the microbiome-gut-brain axis in Alzheimer's disease and its role in cognitive decline

R01 1RF1AG067483-01

Role Co-Investigator
Supporting Agency National Institutes of Health (NIH)
Performance Period 09/15/2020 - 05/31/2024
Funding $3,281,382.00 Total Costs
Effort 18%, 1.5 calendar months
Project Goals/Aims This work takes a critical step forward to bridge microbiome associations with AD to causality by showing how the AD elder's microbiome dysbiosis observed can adversely affect intestinal epithelial homeostasis leading to systemic inflammation, inflammation-causing immunosenescence, and ultimately cognitive dysfunction. It will also describe the microbial metabolic product differences and how these metabolites influence microglial functioning.

 

Mathematical modeling and synthetic biology to discover new ESBL-PE eradicating microbiome-based therapeutics
PR191759

Role Principal Investigator
Supporting Agency Department of Defense (DoD)
Performance Period 08/01/2020 - 07/31/2023
Funding $1,427,912.00 Total Costs
Effort 15%, 1.8 calendar months
Project Goals/Aims We will leverage systems and synthetic biology approaches for microbiome engineering to develop novel live bacterial therapeutics that decolonize ESBL-producing Escherichia coli from the gastrointestinal tracts. We will also evaluate effect of these live bacterial therapeutics on resident microbiome and immunity.

 

Machine learning of immune-modulating microbial communities

Role Principal Investigator
Supporting Agency Vedanta Biosciences Inc.
Performance Period 09/15/2019–03/14/2021
Funding $283,896 Total Costs
Effort 15%, 1.8 calendar months
Project Goals/Aims Application of machine learning and statistical inference methods to host-microbiome data to identify and optimize microbial consortia with potent anti-inflammatory properties

 

Viral micro-epidemics and evolutionary dynamics in bacterial biofilms
NSF 1817342

Role Co-Investigator
Supporting Agency National Science Foundation/Dartmouth College
Performance Period 09/01/2018 – 08/31/2021
Funding $147,000 Total Costs
Effort 10%, 1.2 calendar months
Project Goals/Aims Development of mathematical models and microfluidics experiments to investigate ecological and evolutionary dynamics of bacteriophages and bacteria in spatially structured biofilms

 

Bayesian machine learning tools for analyzing microbiome dynamics
R01 1R01GM130777-01

Role Co-Investigator
Supporting Agency NIH-NGMS / Brigham and Women’s Hospital
Performance Period 09/01/2018 – 08/31/2023
Funding $352,296 Total Costs (to Bucci)
Effort 12%, 1.44 calendar months
Project Goals/Aims Development of machine learning methods and software to analyze longitudinal microbiome data properties

 

 

Previous Funding


Machine learning of immune-modulating microbial communities

Role Principal Investigator
Supporting Agency Vedanta Biosciences Inc.
Performance Period 02/01/2018 - 08/31/2019
Funding $112,000 Total Costs
Effort 10%, 1.2 calendar months
Project Goals/Aims Application of machine learning and statistical inference methods to host microbiome data to identify and optimize microbial consortia with potent anti-inflammatory properties

 

Pipeline for probiotics discovery, engineering and manufacturing

Role Principal Investigator
Supporting Agency UMass President Office
Performance Period 07/01/2017 – 08/31/2019
Funding $125,000 Total Costs
Effort Support for Postdoc only – UMass System Internal Award
Project Goals/Aims This project investigates the development of synthetically engineered probiotic to cure C.difficile infections

 

Propane Synthesis by engineered microbial consortia

Role Co-Investigator
Supporting Agency UMass Dartmouth Multidisciplinary Seed Funding Program
Performance Period 01/01/2017 – 06/30/2017
Funding $21,000 Total Costs
Effort Support for Student only – UMass Dartmouth Internal Award
Project Goals/Aims Optimization of propane-producing microbial systems through synthetic and metabolic engineering

 

Leveraging evolution to develop therapeutics against enteropathogenic E. coli

Role Principal Investigator
Supporting Agency UMass Dartmouth Multidisciplinary Seed Funding Program
Performance Period 01/01/2016 – 06/30/2016
Funding $33,000 Total Costs
Effort Support for Student only – UMass Dartmouth Internal Award
Project Goals/Aims Experimental evolution experiment to investigate trade-offs between environmental adaptation and survival in the host in enteropathogenic E. coli

 

ABI Innovation: A new computational framework for the prediction of microbiome dynamics Grant ID 1458347

Role Principal Investigator
Supporting Agency National Science Foundation
Performance Period 09/01/2015 – 08/31/2019
Funding $491,682 Total Costs (Direct and indirect)
Effort 15%, 1.8 calendar months
Project Goals/Aims The major goal of this project is to develop novel microbiome dynamics prediction open- source software. Research also included model testing and validation using in silico, in vitro experiments, and in vivo and clinical sequencing data

 

Mathematical modeling from metagenomics - minimizing risk of enteric infections
R15 1R15AI112985-01A1

Role Principal Investigator
Supporting Agency National Institutes of Health (NIAID)
Performance Period 01/02/2015 – 01/31/2018
Funding $464,739 Total Costs (Direct and indirect)
Effort 15%, 1.8 calendar months
Project Goals/Aims The major goal of this project is to develop machine learning methods to predict combinations of gut bacteria protecting from C. difficile and VRE bacteremias