Graduate Students Connect Biological Data with Mathematical Models

2013 Summer Graduate Workshop

2013 Summer Graduate Workshop

The 2013 Summer Graduate Workshop, co-sponsored by NIMBioS, the Mathematical Biosciences Institute and the Centre for Applied Mathematics in Bioscience and Medicine, has begun with a full slate of modeling lectures and computer activities scheduled for the two-week program.

The program, which runs from June 17-29, features instructors from across North America whose research expertise is mathematical modeling in biological systems using real data. Some of the techniques to be covered include Maximum likelihood and Bayesian approaches to inference, parameter estimation, model identifiability, uncertainty and sensitivity analysis, and data assimilation. Applications of connecting data to models will come from epidemiology, ecology (including global change biology), evolution, microbiology, physiology, pharmacokinetics, and systems biology.

Activities include lectures, computer exercises and research projects.

Activities include lectures, computer exercises and research.

In addition to attending lectures and completing computer activities, each of the 40 participants will work in teams on a specific research project and present findings at the end of the program.

Instructors include Tom Banks, North Carolina State University; Ben Bolker, McMaster University; Ariel Cintron-Arias, East Tennessee State University; Marisa Eisenberg, University of Michigan; Kevin Flores, North Carolina State University; Paul Hurtado, Math Biosciences Institute; Denise Kirschner,  University of Michigan; Simeone Marino, University of Michigan; Vasileios Maroulas,  University of Tennessee-Knoxville; Kiona Ogle, Arizona State University. Also assisting are NIMBioS Postdoctoral Fellows Jeremy Beaulieu, Jiang Jiang, Keenan Mack, Gesham Magombedze, Calistus Ngonghala, Chris Remien and Dan Ryan.

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