Core team:

Margaret (Maggie) Eppstein

University of Vermont

Department of Computer Science, Research Professor in Computer Science

Eppstein’s research interests involve developing and applying complex systems methods (including evolutionary and agent-based computation, artificial neural networks, and complex network methods) to problems in a variety of biological, environmental, technological, and sociological domains.

Most recent papers:

Dynamic changes in diffusion measures improve sensitivity in identifying patients with mild traumatic brain injury.

Alexander Thomas, Richard Watts, Christopher Filippi, Joshua Nickerson, Margaret (Maggie) Eppstein, et al.. PloS one, e0178360, 12, 2017.
[pdf] [journal page]

Competition along trajectories governs adaptation rates towards antimicrobial resistance.

C. Brandon Ogubunugafor, Margaret (Maggie) Eppstein. Nature ecology & evolution, , 1, 2017.
[pdf] [journal page]

Evolving Probabilistically Significant Epistatic Classification Rules for Heterogeneous Big Datasets.

John Hanley, Margaret (Maggie) Eppstein, Jeffrey S. Buzas, Donna Rizzo. Proceedings of the Genetic and Evolutionary Computation Conference 2016, 445-452, , 2016.
[pdf] [journal page]

Quantifying Deception: A Case Study in the Evolution of Antimicrobial Resistance.

Margaret (Maggie) Eppstein, C. Brandon Ogubunugafor. Proceedings of the Genetic and Evolutionary Computation Conference 2016, 101-108, , 2016.
[pdf] [journal page]

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