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I am an applied mathematician with diverse research interests in complex systems, mathematical modeling, and data science. I enjoy developing both data-driven and mechanistic models to provide insight into the dynamics real-world systems. These models have provided insight into the dynamics of coupled oscillators, social groups, traffic signals, etc. Analysis of these models involves making use of tools from a variety of mathematical fields including nonlinear dynamics, perturbation theory, network science and machine learning.

To learn more about what I am up to these days, check out the blog.

Mark J. Panaggio, Ph.D.

Senior Professional Staff
Johns Hopkins University Applied Physics Laboratory

Email: panaggio [at]

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