Kristin Bennett

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Kristin Bennett
Contact Info

Kristin P. Bennett's research interests include: combining operations research and artificial intelligence problem solving methods; mathematical programming approaches to problems in data science, data mining, artificial intelligence and machine learning such as machine learning, support vector machines, neural networks, pattern recognition, and planning; application of these techniques to medical, financial and scientific problems; applications of machine learning to systems biology, cheminformatics, bioinformatics, tissue engineering, molecular epidemiology, and population biology.

Project PI

SemNExT LogoSemantic Numeric Exploration Technology (SemNExT)
Principal Investigator: Deborah L. McGuinness and Kristin Bennett
Description: SemNExT combines numeric analysis of data with semantic understanding and explanation technologies to provide a holistic means of exploring robust datasets.

Project CO-PI

CHEAR Project LogoChild Health Exposure Analysis Repository (CHEAR)
Principal Investigator: Deborah L. McGuinness
Co Investigator: Kristin Bennett
Description: Child Health Exposure Analysis Repository Data Science Semantics