Publications
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An Open-Source Deep Learning-Based Toolbox for Auditory Brainstem Response Analysis (ABRA).
A. Erra, C. Miller, J. Chen, E. Chrysostomou, S. Barret, Y. M. Kassim, R. A. Friedman, A. Lauer, F. Ceriani, W. Marcotti, C. Carroll, U. Manor. Scientific Reports, in press (2026). (preprint). -
The Token Tax: Systematic Bias in Multilingual Tokenization.
J. M. Lundin, A. Zhang, N. Karim, H. Louzan, V. Wei, D. Adelani, C. Carroll. European Chapter of Association for Computational Linguistics, AfricaNLP 2026 Workshop, in press (2026). (preprint). -
Predicting Progressive Vision Loss in Glaucoma Patients Using Functional Principal Component Analysis and Electronic Health Records.
R. K. Donnipadu, M. Sivolella, C. Carroll, S. Y. Wang. Frontiers in Ophthalmology 5, 1632827 (2025). (pdf). -
Comparative Embryology and Transcriptomics of Asellus infernus, an Isopod Crustacean From Sulfidic Groundwater.
H. J. Lomheim, L. Reyes Rodas, D. Price, S. M. Sarbu, R. I. Băncilă, C. Carroll, et al. Evolution & Development 27(3), e70014 (2025). (pdf). -
Consistency and Validity of Participatory Science Data: A Comparison of Seasonality Patterns of Northern California and Nevada Birds Across eBird and iNaturalist.
C. Carroll, R. E. Furrow, L. M. Gerhart. Citizen Science: Theory and Practice 10(1) (2025). (pdf). -
Latent Deformation Models for Multivariate Functional Data and Time Warping Separability.
C. Carroll and H.-G. Müller. Biometrics (2023). (pdf). -
Comparison of Diagnostic Predictors of Neonatal Survivability in Non-Domestic Caprinae.
T. N. Bliss, M. J. Marinkovich, R. E. Burns, C. Carroll, M. M. Clancy, L. L. Howard. Journal of Zoo and Wildlife Medicine (2022). (pdf). -
Learning delay dynamics for multivariate stochastic processes, with application to the prediction of the growth rate of COVID-19 cases in the United States.
Dubey, P., Chen, Y., Gajardo, Á ., Bhattacharjee, S., Carroll, C., Zhou, Y., and Müller, H. G. Journal of Mathematical Analysis and Applications, 514(2), 125677, (2022). (pdf). -
Cross-component Registration for Multivariate Functional Data, with Application to Growth Curves.
C. Carroll, H.-G. Müller, A. Kneip. Biometrics (2021).
(pdf). -
A Practical Method to Quantify Knowledge-Based Dose Volume Histogram Prediction Accuracy and Uncertainty with Reference Cohorts.
B. Covele, C. Carroll, K. Moore. Journal of Applied Clinical Medical Physics (2021).
(pdf). -
Time dynamics of COVID-19.
Carroll, C., Bhattacharjee, S., Chen, Y., Dubey, P., Fan, J., Gajardo, Á ., Zhou, X., Müller, H. G., and Wang, J-L. Nature- Scientific Reports, 10(1), 21040, (2020). (pdf). -
Mountaineers on Mount Everest: effects of age, sex, experience, and crowding on rates of success and death.
R. B. Huey, C. Carroll, R. Salisbury, J.-L. Wang. PLoS One (2020).
(pdf).
Preprints
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No Translation Needed: Forecasting Quality from Fertility and Metadata.
J. M. Lundin, A. Zhang, D. Adelani, C. Carroll. arXiv preprint arXiv:2509.05425 (2025). (preprint). -
Improving Conservation Efficiency with Large Language Models.
R. Bernstein, S. Waterman, N. Murphy, K. Klausmeyer, C. Carroll. Journal of Environmental Management, under review (2025). (preprint).
Whitepapers
- X. Wang, W.-C. Liao, K. Klausmeyer, N. Rindlaub, C. Carroll. An Automated Workflow for Satellite-based Monitoring of Field Flooding. The Nature Conservancy, (2023). (pdf) (Github page.)
Software
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fdapace: Functional Data Analysis and Empirical Dynamics- 2019 – present (R package)
Contributing author and former maintainer -
Auditory Brainstem Response Analyzer (ABRA)
A. Erra, J. Chen, C. Miller, Y. Kassim, L. Ashebir, P. Patel, C. Carroll, U. Manor. Zenodo (2025). (Zenodo.) -
NorCal Bird Dashboard
C. Carroll, S. Waterman, A. Zhang. (2024). (Github page.) -
BirdSense Bid for Birds Dashboard
(Interactive Dashboard.)
Media
The USF Data Science Podcast, co-host with Robert Clements (2022 - present)