This $120,000 Project Grant was awarded on August 15, 2024 by the National Science Foundation's Division of Mathematical Sciences under the Mathematical and Physical Sciences (CFDA 47.049) federal grant program. The grant supports the development of a novel computational framework for leveraging geometric structure in data, which aims to advance more efficient and sustainable machine learning methods. The project, titled "Towards Geometry-Informed Machine Learning: A Comprehensive Framework for Recognizing and Leveraging Heterogeneous Geometric Structure in Data," is being conducted by President and Fellows of Harvard College (Harvard University). The research findings will be incorporated into graduate courses, and graduate and undergraduate students will be mentored as part of this project to contribute to the training of the next generation of applied mathematicians. Additionally, the research concepts will be shared with the broader community through STEM outreach activities.
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