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Modeling, Simulation, and Analysis of Complex Systems

We study deterministic and stochastic systems to help us understand interactions between the systems’ components and the emergence of system-wide behaviors. Our computational analyses are validated with experimental data and also often identify mechanisms that relate model parameters and observables. In addition to application domains, our current research themes include multi-scale modeling, scientific reproducibility, and uncertainty quantification.