Genome-Scale Models of Microbial Metabolism

1
Genome-Scale Models of Microbial Metabolism
My research focuses on building computer models
of metabolism for single-celled organisms. These
models are useful for simulating and predicting
the ways that bacteria interact with their
environment and produce energy.
Matt DeJongh Computer Science dejongh_at_hope.edu (61
6) 395-7429
Photograph
Education and experiences
Ph.D., The Ohio State University Senior Software
Engineer, NetGenics, Inc.
Areas of expertise
Bioinformatics, Artificial Intelligence
(image from FluxAnalyzer, http//www.mpi-magdeburg
.mpg.de/projects/cna/cna.html)
Grants and awards
The Department of Energy is interested in
building these models for bacteria that show
promise for use in energy production and toxic
waste remediation.
Towsley Research Scholars Fellowship HHMI
Faculty Development Grant for Interdisciplinary
Research
Key publications and presentations
DeJongh, M., Burnatowska-Hledin, M., Development
and Implementation of an Introductory
Bioinformatics Course at Hope College,
Transformations, Vol. 2, No. 1, April,
2004. Ambrose, J., Formsma S., Gould, J.,
Integration of KEGG pathways into the SEED, at
the Argonne National Laboratory Symposium for
Undergraduates in Science, Engineering and
Mathematics, Argonne National Laboratory,
Argonne, Illinois, November 4-5, 2005.
Students Jeff Ambrose, John Gould and Kevin
Formsma, along with Professor of Microbiology
Aaron Best, travelled with me to the DOEs
Argonne National Laboratory to present our
research.
Acknowledgements
HHMI, DOE, SIGCSE