Kevin Moon
Mathematics and Statistics
Associate Professor

Contact Information
Office Location: Animal Science (ANSC) 302Phone: (435) 797-0749
Email: Kevin.Moon@usu.edu
Additional Information:
Educational Background
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
- Moon, K., van Dijk, D., Wang, Z., Gigante, S., Burkhardt, D., Chen, W., Yim, K., van den Elzen, A., Hirn, M., Coifman, R., Ivanova, N., Wolf, G., Krishnaswamy, S., (2019). Visualizing Structure and Transitions in High-Dimensional Biological Data. Nature Biotechnology, 37:12, 1482-1492.
- Brunet-Ratnasingham, E., Morin, S., Randolph, H.E, Labrecque, M., Bélair, J., Lima-Barbosa, R., Pagliuzza, A., Marchitto, L., Hultström, M., Niessl, J., Cloutier, R., Sreng Flores, A.M, Brassard, N., Benlarbi, M., Prévost, J., Ding, S., Anand, S.P, Sannier, G., Marks, A., Wågsäter, D., Bareke, E., Zeberg, H., Lipcsey, M., Frithiof, R., Larsson, A., Zhou, S., Nakanishi, T., Morrison, D., Vezina, D., Bourassa, C., Gendron-Lepage, G., Medjahed, H., Point, F., Richard, J., Larochelle, C., Prat, A., Cunningham, J.L, Arbour, N., Durand, M., Richards, J.B, Moon, K., Chomont, N., Finzi, A., Tétreault, M., Barreiro, L., Wolf, G., Kaufmann, D.E, (2024). Sustained IFN signaling is associated with delayed development of SARS-CoV-2-specific immunity. Nature Communications, 15:1, doi: 10.1038/s41467-024-48556-y
- Rhodes, J., Cutler, A., Moon, K., (2023). Geometry- and accuracy-preserving random forest proximities. IEEE Transactions on Pattern Analysis and Machine Intelligence, 45:9, 10947 - 10959.
- Duque, A., Morin, S., Wolf, G., Moon, K., (2022). Geometry regularized autoencoders. IEEE Transactions on Pattern Analysis and Machine Intelligence, 45:6, 7381 - 7394.
- Moon, K., Sricharan, K., Hero, A., (2021). Ensemble Estimation of Generalized Mutual Information with Applications to Genomics. IEEE Transactions on Information Theory, 67:9, 5963-5996.
- Moyle, M., Barnes, K., Kuchroo, M., Gonopolskiy, A., Duncan, L., Sengupta, T., Shao, L., Guo, M., Santella, A., Christensen, R., Kumar, A., Wu, Y., Moon, K., Wolf, G., Krishnaswamy, S., Bao, Z., Shroff, H., Mohler, W., Colon-Ramos, D., (2021). Structural and developmental principles of neuropil assembly in C. elegans. Nature, 591, 99–104.
- Zhang, W., Rhodes, J., Moon, K., Knudsen, B., Nokolova, L., Zhou, A., (2020). Imaging of PD-L1 in single cancer cells by SERS-based hyperspectral analysis. Biomedical Optics Express, 11:11, 6197-6210.
- Zhang, W., Rhodes, J., Garg, A., Takemoto, J.Y, Qi, X., Harihar, S., Chang, C.T, Moon, K., Zhou, A., (2020). Label-free Discrimination and Quantitative Analysis of Oxidative Stress Induced Cytotoxicity and Potential Protection of Antioxidants Using Raman Spectroscopy and Machine Learning. Analytica Chimica Acta, 1128, 221-230.
- Moon, K., (2020). Single cell immune profiling of dengue virus patients reveals intact immune responses to Zika virus with enrichment of innate immune signatures. PLOS Neglected Tropical Diseases, 14:3, e0008112. doi: 10.1371/journal.pntd.0008112
- Yasaei Sekeh, S., Noshad, M., Moon, K., Hero, A.O, (2019). Convergence Rates for Empirical Estimation of Binary Classification Bounds. Entropy, 21:12, 1144.
- Amodio, M., van Dijk, D., Srinivasan, K., Chen, W., Mohsen, H., Moon, K., Campbell, A., Zhao, Y., Wang, X., Venkataswamy, M., Desai, A., V, R., Kumar, P., Montgomery, R., Wolf, G., Krishnaswamy, S., (2019). Exploring single-cell data with deep multitasking neural networks. Nature Methods, 16, 1139-1145.
- Moon, K., (2019). Dissecting alterations in human CD8+ T cells with aging by high-dimensional single cell mass cytometry. Clinical Immunology, 200, 24-30. doi: 10.1016/j.clim.2019.01.005
- Moon, K., Sricharan, K., Greenewald, K., Hero, A., (2018). Ensemble Estimation of Information Divergence. Entropy, 20:8, 560.
- Van Dijk, D., Sharma, R., Nainys, J., Yim, K., Kathail, P., Carr, A., Burdziak, C., Moon, K., Chaffer, C.L, Pattabiraman, D., Bierie, B., Mazutis, L., Wolf, G., Krishnaswamy, S., Pe'er, D., (2018). Recovering Gene Interactions from Single-Cell Data Using Data Diffusion. Cell, 174:3, 716-729.
- Moon, K., Stanley, J., Burkhardt, D., van Dijk, D., Wolf, G., Krishnaswamy, S., (2018). Manifold Learning-based Methods for Analyzing Single-Cell RNA-Sequencing Data. Current Opinion in Systems Biology, 7, 36-46.
- Moon, K., Li, J.J, Delouille, V., De Visscher, R., Watson, F., Hero, III, A.O, (2016). Image patch analysis of sunspots and active regions. I. Intrinsic dimension and correlation analysis. Journal of Space Weather and Space Climate, 6, A2.
- Moon, K., Delouille, ., Li, J., De Visscher, R., Watson, F., Hero, III, A.O, (2016). Image patch analysis of sunspots and active regions. II. Clustering via matrix factorization. Journal of Space Weather and Space Climate, 6, A3.
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.