Skip to Main Content U.S. Department of Energy
small banner

Bobbie-Jo M. Webb-Robertson, Ph.D.


Bobbie-Jo M. Webb-Robertson
Bobbie-Jo M. Webb-Robertson

Dr. Webb-Robertson's research interests includes the development of statistical inference models, largely machine learning, with application to bioinformatics problems such as the analysis of protein function, mass spectrometry based peptide identification, and data integration. Previous work includes the use of Bayesian and support vector machine methods to derive new algorithms that improve the task of protein homology searches. Recent work has focused on the development of Bayesian fusion methods that allow the integration of large and heterogeneous datasets.


  • Ph.D., Decision Sciences and Engineering Systems, Rensselaer Polytechnic Institute, 2002
  • M.E., Operations Research and Statistics, Rensselaer Polytechnic Institute, 2000
  • B.A., Mathematics, Eastern Oregon University, 1997

Honors and Awards

  • HPC Analytic Challenge Winner: Oehmen, CS, LA McCue, BJM Webb-Robertson, ST Dowson, JP Almquist, and JE McDermott. Interactive HPC-driven visual analysis for multiple genome datasets. Supercomputing 2008, Austin TX, November 18, 2008.
  • HPC Analytic Challenge Finalist: Oehmen, CS, L McCue, JN Adkins, KM Waters, TS Carlson, WR Cannon, BM Webb-Robertson, DJ Baxter, ES Peterson, M Singhal, A Shah, and KR Klicker. High-throughput visual analytics for biological sciences: turning data into knowledge. Supercomputing 2007, Tampa FL, November 14, 2007.
  • Program in Mathematics and Molecular Biology Fellowship from the National Science Foundation (NSF), 8/99-7/01.
  • Chauncey and Doris Starr Graduate Fellowship from Rensselaer Polytechnic Institute, 8/97-5/98.

Selected Publications

Webb-Robertson BJ, LA McCue, N Beagley, JE McDermott, DS Wunschel, SM Varnum, JZ Hu, NG Isern, GW Buchko, K McAteer, JG Pounds, SJ Skerrett, D Liggitt, and CW Frevert. 2009. "A Bayesian integration model of high-throughput proteomics and metabolomics data for improved early detection of microbial infections." Pac Symp Biocomput, 451-63.

Webb-Robertson BJ, WR Cannon, CS Oehmen, AR Shah, V Gurumoorthi, MS Lipton, and KM Waters. 2008. "A support vector machine model for the prediction of proteotypic peptides for accurate mass and time proteomics." Bioinformatics, 24(13): 1503-1509.

Webb-Robertson BJ, LA McCue, and CE Lawrence. 2008. "Measuring global credibility with application to local sequence alignment." PLoS Comput Biol, 4(5):e1000077.

Webb-Robertson BJ, CS Oehmen, and AR Shah. 2008. "A feature integration approach for a generalized support vector machine pairwise homology algorithm." Comput Biol Chem, 32(6): 458-461.

Shah AR, CS Oehmen, and BJ Webb-Robertson. 2008. "SVM-HUSTLE — an iterative semi-supervised machine learning approach for pairwise protein remote homology detection." Bioinformatics, 24(6): 783-790.

Contact Information

Systems Biology at PNNL

Research & Capabilities