Cody Carroll
Assistant Professor
Biography
Cody Carroll is an assistant professor with joint appointments in the Department of Mathematics and Statistics and the Master's in Data Science program (MSDS). He holds a PhD and MS in Statistics from the University of California, Davis and a BS in mathematics from the University of Texas at Austin. His methodological research interests focus on functional and longitudinal data, particularly in the context of human growth and aging, and his interdisciplinary work has spanned a wide range of fields, including neuroscience, mountaineering, epidemiology, and veterinary medicine.
Expertise
- Time warping & curve registration
- Multivariate functional data
- Statistical consulting
- Communication through statistics
Research Areas
- Functional and longitudinal data analysis
- Growth and development
- Aging and longevity
- Citizen science and open data
Education
- UC Davis, PhD in Statistics, 2021
- UC Davis, MS in Statistics, 2017
- UT Austin, BS in Mathematics, 2014
Prior Experience
- Adjunct Professor in Statistics, UC Davis
- Data Scientist / Quant, Wells Fargo
Books
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Carroll, C., Müller, H. G., & Kneip, A. (2020). Cross‐component registration for multivariate functional data, with application to growth curves. Biometrics, 77(3), 839-851.
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Huey, R. B., Carroll, C., Salisbury, R., & Wang, J. L. 2020). Mountaineers on Mount Everest: effects of age, sex, experience, and crowding on rates of success and death. PLoS One, 15(8), e0236919.
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Carroll, C., Bhattacharjee, S., Chen, Y., et al. (2020). Time dynamics of COVID-19. Scientific reports, 10(1), 1-14.
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Carroll, C., Gajardo, A., Chen, Y., et al. (2020). fdapace: Functional data analysis and empirical dynamics. R package version 0.5, 5.
Selected Publications
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Carroll, C., Müller, H. G., & Kneip, A. (2020). Cross‐component registration for multivariate functional data, with application to growth curves. Biometrics, 77(3), 839-851.
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Huey, R. B., Carroll, C., Salisbury, R., & Wang, J. L. 2020). Mountaineers on Mount Everest: effects of age, sex, experience, and crowding on rates of success and death. PLoS One, 15(8), e0236919.
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Carroll, C., Bhattacharjee, S., Chen, Y., et al. (2020). Time dynamics of COVID-19. Scientific reports, 10(1), 1-14.
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Carroll, C., Gajardo, A., Chen, Y., et al. (2020). fdapace: Functional data analysis and empirical dynamics. R package version 0.5, 5.