Geometric Data Analytics

Where practical solutions and novel insights take shape

GDA develops and applies mathematical, statistical, and computational tools for the analysis of challenges in a wide range of domains including tracking, logistics, modeling, optimization, agriculture, machine learning/artificial intelligence, and biology.

Our team combines applied mathematics expertise, agile software design, and fundamental research practices to construct compelling demonstrations of research solutions and drive informed, confident decisions.

GDA was founded in 2012 by Dr. John Harer while he was a Professor of Mathematics at Duke University performing research on grants and contracts from DARPA, AFOSR, NSF, NIH, and DTRA. Today, the number of government agencies we work with has grown to include the Air Force Research Laboratory, Department of Energy, Environmental Protection Agency, NASA, National Geospatial-Intelligence Agency, National Oceanic and Atmospheric Administration, and National Security Agency.

Capabilities

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Data Assimilation

Our approaches provide a common language to leverage data from heterogeneous data streams to improve AI models over any single modality.

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Machine Learning

With widespread impact of machine learning approaches, we enhance existing methodologies with computationally efficient shape features and explainable models.

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Shape Analytics

We specialize in extracting geometric descriptors from data to augment traditional data analysis with sophisticated concepts from contemporary mathematics.

featured projects

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Contact Us

We develop and deploy machine learning and artificial intelligence solutions, leveraging shape analytics approaches to further enhance state-of-the-art