Kevin Moon

Mathematics and Statistics

Associate Professor


Kevin Moon

Contact Information

Office Location: Animal Science (ANSC) 302
Phone: (435) 797-0749
Email: Kevin.Moon@usu.edu
Additional Information:

Educational Background

MS, Mathematics, University of Michigan, 2016
PhD, Electrical Engineering: Systems, (Signal Processing), University of Michigan, 2016
Nonparametric estimation of distributional functionals and applications
MS, Electrical Engineering, Brigham Young University, 2012
BS, Electrical Engineering, Brigham Young University, 2011

Biography

Dr. Moon earned a bachelor's and master's degree in Electrical Engineering at Brigham Young University, focusing on signal processing. He then obtained an M.S. degree in Mathematics and a Ph.D. in Electrical Engineering at the University of Michigan where his research focused on nonparametric estimation of distributional functionals. Prior to joining Utah State University in 2018, he was a postdoctoral scholar in the Genetics Department and the Applied Math Program at Yale University where he developed machine learning methods for exploratory data analysis with a focus in biomedical applications.

Teaching Interests

Machine learning and data science

Research Interests

Development of theory and applications in machine learning, explainable AI, exploratory data analysis, deep learning, manifold learning, and information theory. Applications of interest include biology (including medical), finance, ecology, engineering, and navigation.

Awards

Faculty Graduate Mentor of the Year, 2025

Department of Mathematics and Statistics

AI Utah 100, 2024

AI Utah

Faculty Researcher of the Year, 2023

Department of Mathematics and Statistics

Faculty Graduate Mentor of the Year, 2022

College of Science

Faculty Graduate Mentor of the Year, 2022

Department of Mathematics & Statistics


Publications | Journal Articles

Academic Journal

An asterisk (*) at the end of a publication indicates that it has not been peer-reviewed.

Publications | Technical Reports

Research Reports

    An asterisk (*) at the end of a publication indicates that it has not been peer-reviewed.

    Publications | Other

    An asterisk (*) at the end of a publication indicates that it has not been peer-reviewed.

    Teaching

    STAT 5810 - Topics in Statistics, Fall 2024
    STAT 5810 - Introduction to Python for Data Science, Spring 2024
    CS, STAT 5810, 6655 - Machine Learning, Spring 2024
    STAT 6685, 5685 - Deep Learning Theory and Applications, Fall 2023
    MATH, STAT 5645, 6645 - Mathematical Methods for Data Science, Fall 2023
    STAT 6655 - Machine Learning, Spring 2023
    CS, STAT 6685, 5810, 5890 - Deep Learning Theory and Applications, Fall 2022
    MATH, STAT 6645, 5645 - Mathematical Methods for Data Science, Fall 2022
    STAT 6810 - Machine Learning, Spring 2022
    CS, STAT 6685, 5810 - Deep Learning Theory and Applications, Fall 2021
    STAT 6810, 5810 - Mathematical Methods for Data Science, Fall 2021
    CS, STAT 6685 - Deep Learning Theory and Applications, Spring 2021
    STAT 6820 - Principles of Machine Learning, Spring 2021
    STAT 5810, 6810 - Mathematical Methods for Data Science, Fall 2020
    CS, STAT 6685, 7810 - Deep Learning Theory and Applications, Spring 2020
    STAT 6950 - DR: Statistical Learning Theory, Fall 2019
    MATH, STAT 6910 - Principles of Machine Learning, Fall 2019
    STAT 6910, 7810 - Deep Learning Theory and Applications, Spring 2019
    STAT 6910 - Statistical Learning and Data Mining 2, Fall 2018

    Graduate Students Mentored

    Riley May, November 2023
    Jarrod Mau, Mathematics & Statistics, June 2023
    Ben Shaw, Mathematics & Statistics
    Haozhe Chen, Mathematics & Statistics
    Kelvyn Bladen, Mathematics & Statistics
    Scout Jarman, Mathematics & Statistics
    Mina Hossain, Mathematics & Statistics, August 2020
    Thomas Kerby, Mathematics & Statistics, August 2020
    Devin Eddington, Mathematics & Statistics
    Jake Rhodes, Mathematics & Statistics, December 2018 - July 2022
    Andres Duque, Mathematics & Statistics, November 2018 - July 2022
    Teresa White, Mathematics & Statistics, September 2019 - July 2021
    Thomas Brower, Mathematics & Statistics, October 2018 - May 2020
    Ronak Tali, Mathematics & Statistics, September 2018 - May 2020
    Jared Hansen, Mathematics & Statistics, September 2018 - April 2020