This National Science Foundation (NSF) Project Grant under the CFDA program "Biological Sciences" (47.074) is awarded to Trustees of Boston University to develop and optimize optogenetic tools for selecting bacterial cells based on dynamic, time-varying traits. The $796,158 award, effective August 1, 2023 through July 31, 2026, supports the researchers in creating light-inducible genetic constructs that trigger antibiotic resistance, enabling the isolation of bacteria exhibiting...
This Project Grant award from the National Science Foundation's Biological Sciences program (CFDA 47.074) provides $788,966 to Boston College to investigate how microbial community interactions influence the success or failure of new microbes invading existing communities. Through a combination of mathematical modeling and experimental validation using laboratory communities of nasal bacteria, the project aims to elucidate three key questions: (1) how nutrient availability impacts invasion...
The National Science Foundation (NSF) awarded a $388,447 Project Grant under the Mathematical and Physical Sciences (CFDA 47.049) program to Trustees of Boston University. The award period is from May 1, 2024 to April 30, 2027. The primary objectives of this project are to: (i) develop a mathematical framework for constructing innovative data features to enhance the performance of machine learning algorithms, particularly for complex biomedical data; (ii) analyze and optimize parameters of the...
The National Science Foundation (NSF) awarded a $642,399 Project Grant under the Biological Sciences program (CFDA 47.074) to Trustees of Boston University. The grant supports research to understand the process of cell death in the marine cyanobacterium Prochlorococcus, a globally abundant microbe critical to ocean biogeochemistry. The project aims to examine the interplay between cellular metabolism and cell death, as well as the fate of cellular biomass after death and how interactions with...
This National Science Foundation (NSF) Biological Sciences (CFDA 47.074) program Project Grant award to Duke University is valued at $300,000 and runs from September 1, 2024 to August 31, 2026. The project aims to develop an integrated experimental and computational approach to uncover the design principles at the molecular and cellular level that govern microbiome function. The research will integrate advanced machine learning techniques with high-throughput microbial community construction and...
The National Science Foundation (NSF) Division of Mathematical Sciences awarded a $331,902 Project Grant to the Trustees of Boston University on August 15, 2023 under the Mathematical and Physical Sciences program (CFDA 47.049). The purpose of this 3-year grant is to develop rigorous mathematical analysis and theory for the training algorithms used in neural network models across various machine learning applications. The research will leverage stochastic analysis and weak convergence theory...
The Trustees of Boston University were awarded a $379,781 Project Grant from the National Science Foundation under the Biological Sciences federal grant program (CFDA 47.074) to undertake the "DIGITIZATION TCN: COLLABORATIVE RESEARCH: BRINGING ASIA TO DIGITAL LIFE: MOBILIZING UNDERREPRESENTED ASIAN HERBARIUM COLLECTIONS IN THE US TO PROPEL BIODIVERSITY DISCOVERY" project. The grant will support efforts to digitize underrepresented Asian plant collections housed at U.S. herbaria to...
This NSF Biological Sciences program (CFDA 47.074) federal project grant of $519,998 awarded to Trustees of Boston University on July 1, 2024 will support research to uncover the role of splicing factors in transcriptional regulation and gene expression. The project aims to determine the rules governing U1 small nuclear ribonucleoprotein particle (U1snRNP) dependent promoter regulation through splicing, and explore the mechanisms driving U1snRNP-dependent downstream promoter activation via...
This $199,979 EAGER award from the National Science Foundation's Biological Sciences (CFDA 47.074) program will develop an open-source large language model to rapidly identify, verify, prioritize, summarize, and predict outcomes of emerging disease threats across humans, animals, and plants. The project, titled "The BioThreats Emergence, Analysis, and Communications Network (BEACON)", aims to create a specialized AI/machine learning system that can process vast datasets to detect...
The National Science Foundation (NSF) awarded a 5-year, $551,813 CAREER grant under the Biological Sciences program (CFDA 47.074) to the Regents of the University of Michigan - Office of Research and Sponsored Projects. The grant supports the development of autonomous systems that combine artificial intelligence and automated wet lab experiments to build mechanistic models of understudied microbes. Key objectives include: 1) Integrating automated experiments with metabolic models to uncover...