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Bulletin of Mathematical Biology|March 4, 2026
SSRCA: A Novel Machine Learning Pipeline to Perform Sensitivity Analysis for Agent-Based ModelsEdward H Rohr, John T NardiniBulletin of Mathematical Biology|September 22, 2024
Forecasting and Predicting Stochastic Agent-Based Model Data with Biologically-Informed Neural NetworksJohn T NardiniSIAM Journal on Applied Mathematics|January 15, 2019
INVESTIGATION OF A STRUCTURED FISHER'S EQUATION WITH APPLICATIONS IN BIOCHEMISTRYJohn T Nardini, D M BortzInverse Problems|June 14, 2021
The influence of numerical error on parameter estimation and uncertainty quantification for advective PDE modelsJohn T Nardini, D M BortzMicrocirculation (New York, N.Y. : 1994)|January 12, 2023
Statistical and topological summaries aid disease detection for segmented retinal vascular imagesJohn T Nardini, Charles W J Pugh, Helen M ByrneJournal of Theoretical Biology|April 24, 2016
Modeling keratinocyte wound healing dynamics: Cell-cell adhesion promotes sustained collective migrationJohn T Nardini, Douglas A Chapnick, Xuedong Liu, et al.Journal of the Royal Society, Interface|March 17, 2021
Learning differential equation models from stochastic agent-based model simulationsJohn T Nardini, Ruth E Baker, Matthew J Simpson, et al.Proceedings. Mathematical, Physical, and Engineering Sciences|March 24, 2020
Learning partial differential equations for biological transport models from noisy spatio-temporal dataJohn H Lagergren, John T Nardini, G Michael Lavigne, et al.Plos Computational Biology|December 1, 2020
Biologically-informed neural networks guide mechanistic modeling from sparse experimental dataJohn H Lagergren, John T Nardini, Ruth E Baker, et al.Plos Computational Biology|June 28, 2021
Topological data analysis distinguishes parameter regimes in the Anderson-Chaplain model of angiogenesisJohn T Nardini, Bernadette J Stolz, Kevin B Flores, et al.Pageof 2