John Nardini

Nardini, J. T., Baker, R. E., Simpson, M. J., & Flores, K. B. (2021). [Review of Learning differential equation models from stochastic agent-based model simulations]. JOURNAL OF THE ROYAL SOCIETY INTERFACE, 18(176). https://doi.org/10.1098/rsif.2020.0987

Nardini, J. T., Stolz, B. J., Flores, K. B., Harrington, H. A., & Byrne, H. M. (2021). Topological data analysis distinguishes parameter regimes in the Anderson-Chaplain model of angiogenesis. PLOS COMPUTATIONAL BIOLOGY, 17(6). https://doi.org/10.1371/journal.pcbi.1009094

Everett, R., Flores, K. B., Henscheid, N., Lagergren, J., Larripa, K., Li, D., … Rutter, E. M. (2020). [Review of A tutorial review of mathematical techniques for quantifying tumor heterogeneity]. MATHEMATICAL BIOSCIENCES AND ENGINEERING, 17(4), 3660–3709. https://doi.org/10.3934/mbe.2020207

Lagergren, J. H., Nardini, J. T., Baker, R. E., Simpson, M. J., & Flores, K. B. (2020). Biologically-informed neural networks guide mechanistic modeling from sparse experimental data. PLOS COMPUTATIONAL BIOLOGY, 16(12). https://doi.org/10.1371/journal.pcbi.1008462

Nardini, J. T., Lagergren, J. H., Hawkins-Daarud, A., Curtin, L., Morris, B., Rutter, E. M., … Flores, K. B. (2020). Learning Equations from Biological Data with Limited Time Samples. BULLETIN OF MATHEMATICAL BIOLOGY, 82(9). https://doi.org/10.1007/s11538-020-00794-z

Lagergren, J. H., Nardini, J. T., Michael Lavigne, G., Rutter, E. M., & Flores, K. B. (2020). Learning partial differential equations for biological transport models from noisy spatio-temporal data. PROCEEDINGS OF THE ROYAL SOCIETY A-MATHEMATICAL PHYSICAL AND ENGINEERING SCIENCES, 476(2234). https://doi.org/10.1098/rspa.2019.0800

Nardini, J. T., & Bortz, D. M. (2019). The influence of numerical error on parameter estimation and uncertainty quantification for advective PDE models. INVERSE PROBLEMS, 35(6). https://doi.org/10.1088/1361-6420/ab10bb

Banks, H. T., Choi, A., Huffman, T., Nardini, J., Poag, L., & Thompson, W. C. (2013). Quantifying CFSE label decay in flow cytometry data. APPLIED MATHEMATICS LETTERS, 26(5), 571–577. https://doi.org/10.1016/j.aml.2012.12.010