Kevin Moon

Field: Mathematics
Areas of Focus: Artificial Intelligence

Expertise

• Machine Learning
• Artificial Intelligence
• Data Science
• Deep Learning
• Neural Networks
• Information Theory
• Manifold Learning
• Computational Biology

Bio

Kevin Moon is an assistant professor of Mathematics and Statistics. He holds a B.S. and M.S. degree in Electrical Engineering from Brigham Young University and an M.S. degree in Mathematics and a Ph.D. in Electrical Engineering from the University of Michigan. Prior to joining USU in 2018, he was a postdoctoral scholar (2016-2018) in the Genetics Department and the Applied Mathematics Program at Yale University. His research interests are in the development of theory and applications in machine learning, information theory, deep learning, and manifold learning. More specifically, he is interested in dimensionality reduction, data visualization, ensemble methods, nonparametric estimation, information theoretic functionals, neural networks, and applications in biomedical data, finance, engineering, and ecology.