U.S. Department of Energy

Pacific Northwest National Laboratory

Matthew Monroe


Dr. Monroe's research involves development of algorithms and software for custom and automated analysis of proteomics and bioinformatics data, including managing, summarizing, and mining the large volumes of data generated by mass spectrometry-based proteomic analysis. His areas of expertise include microcolumn liquid chromatography, LC-MS/MS of peptides and proteins using Q-TOF and ion trap mass spectrometry, and analytical instrumentation design and automation. Dr. Monroe has over 15 years of programming experience, specializing in software design using Visual Basic .NET, LabView, and relational databases including Microsoft SQL Server and Microsoft Access.

His efforts at PNNL have involved automating existing LC-MS peak matching software, collaborating with the development team to incorporate the software into PRISM and expand the software to support new data processing developments. In addition, he has developed numerous utility applications to aid researchers in transforming and interpreting proteomics data (applications and source code are available at http://omics.pnl.gov/software). He is currently the lead developer for administering, optimizing, and expanding a large collection of SQL Server databases used to process and organize data from the AMT tag process. Dr. Monroe is a key participant in the team of developers in charge of implementing algorithms and new processing paradigms for the ever-increasing volumes of data.

Affiliations and Professional Service

  • Analytical Chemistry Society
Research Interests:
  • Proteomics
  • Bioinformatics
  • Software engineering
  • Database architecture
  • Ph.D., Analytical Chemistry, University of North Carolina, Chapel Hill, 2002
  • B.S., Chemistry, University of Wyoming, 1997
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