Practicum Experience(s)
Lawrence Livermore National Laboratory (2025)
Lawrence Livermore National Laboratory (2024)
Annual Program Review Abstracts
Publications
Paige, J., Caldwell, P., Beydoun, H., Hannah, W., Rebassoo, F., Mahfouz, N., Keen, N.,
Elsaesser, G., Bertagna, L., Bogenschutz, P., Collins, G., Donahue, A., Golaz, J.-C., Guba,
O., Hillman, B., Lee, J., Lin, W., Ma, H.-Y., Salinger, A., Shand, L., Terai, C., & Wagman,
B. Machine Learning for Optimized Tuning of the Simple Cloud-Resolving E3SM Atmosphere
Model (SCREAM). Submitted. Preprint: essopenarchive.org/doi/full/10.22541/essoar.15006793/v3
Paige, J., Patterson, D., & Hastings, A. (2026). Towards a unified framework for multiple
stable states in ecological systems. Journal of the Royal Society Interface, 23: 20260479.
doi.org/10.1098/rsif.2026.0479.
Balstad LJ, Brennan J, ... Paige, J. ... et al. (2026). Eight quick tips for data-model integration
in ecology. PLOS Computational Biology 22(7): e1014524. doi.org/10.1371/journal.pcbi.1014524.
Bhaskar, D., MacDonald, K., Thomas, D., Zhao, S., You, K., Paige, J., Aizenbud, Y., Adelstein,
I., & Krishnaswamy, S. (2022). Diffusion-based methods for estimating curvature in data. ICLR
2022 Workshop on Geometrical and Topological Representation Learning. openreview.net/pdf
Renninger, K. A., Elias, Ruth. C., Kamiya, M. J., Paige, J. N., & Youngblood, R. A. (2024). PD
supporting CS and math integration: implications of teacher interest and confidence for workshop
design. Computer Science Education, 35(1), 93–122. doi.org/10.1080/08993408.2024.2433334.
Awards
2022 NSF NRT Sustainable Oceans Trainee
2025 Hazel B. Jacoby Fellow
2022 Heinrich W. Brinkmann Mathematics Prize recipient- for outstanding performance in the field and exemplary services to the Swarthmore Mathematics Department
2018 Los Alamos Employees Scholarship Fund Bronze Scholarship Recipient
Sigma Xi member