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Chris Oehmen, Ph.D.

Expertise

Chris Oehmen, portrait
Chris Oehmen

Dr. Oehmen is involved in broad biological research which can be approached using high-performance computing. Current research projects include the application of machine learning to pattern recognition and classification in biological systems, high-performance sequence alignment (ScalaBLAST), improving the process of high-throughput proteomics through advanced algorithms, and physiological modeling. These disparate efforts are all centered around harnessing the enormous computational capability available to the modern researcher for practical use in systems biology.

Education

  • Ph.D. Biomedical Engineering, The Joint Graduate Program in Biomedical Engineering, The University of Memphis and The University of Tennessee, Memphis, 2003
  • M.S. Biomedical Engineering, The Joint Graduate Program in Biomedical Engineering, The University of Memphis and The University of Tennessee, Memphis, 1999
  • B.A. Physics and Mathematics, Saint Louis University, 1995

Awards/Honors

  • Computational Sciences Graduate Fellow, Krell Institute, 1999-2003
  • Presidential Scholarship Recipient, Saint Louis University, 1991-1995

Professional Affiliations

  • IEEE Engineering in Medicine and Biology
  • IEEE Computer Society

Selected Publications

Webb-Robertson BM, Oehmen CS, Matzke MM. 2005. "SVM-BALSA:Remote Homology Detection Based on Bayesian Sequence Alignment". Comput. Biol. Chem., 29 (2005) 440-443.

Oehmen CS, TP Straatsma, GA Anderson, G Orr, BM Webb-Robertson, RC Taylor, RW Mooney, DJ Baxter, DR Jones, DA Dixon. 2006. "New Challenges Facing Integrative Biological Science in the Post-Genomic Era". J. Biol. Systems, in press.

Cannon WR, KH Jarman, BM Webb-Robertson, DJ Baxter, CS Oehmen, KD Jarman, A Heredia-Langner, KJ Auberry and GA Anderson. 2005. "A Comparison of Probability and Likelihood Models for Peptide Identification from Tandem Mass Spectrometry Data". J. Proteome Res., 4(5): 1687-1698.

Oehmen CS, W Giles, S Demir. 2002. "A Mathematical Model of the Rapidly Activating Delayed Rectifier Potassium Current, IKr, in Rabbit Sinoatrial Node," J. Cardiovasc. Electrophysiol, 1131-1139.

M Garzon, C Oehmen. 2001. "Biomolecular Computation in Virtual Test Tubes", in Lecture Notes on Computer Science: DNA Computing. N Jonoska and NC Seeman, Eds. Berlin: Springer, p. 117-128.

Contact Information

Systems Biology at PNNL

Research & Capabilities

Resources