Jeffrey Baumes

Jeffrey Baumes

Director of Data and Analytics

Dr. Baumes is the Director of Data and Analytics at Kitware, Inc. His primary responsibility is to create tools that effectively visualize large and complex data of Kitware’s collaborators – spanning relational, geospatial, temporal, bioinformatics, financial, and textual data and metadata. He has provided architectural oversight and development support for open-source toolkits that enable analysis and visualization of data, including information visualization capabilities in VTK, large-scale text analysis with Titan (co-developed with Sandia National Labs), and most recently Resonant, a leading-edge data visualization and analytics platform. Recent projects under his direction include a DARPA XDATA big-data visualization award; visualization of large financial data for a Fortune 50 bank; advanced visualization for cyber security integrated with Splunk; and NSF ARBOR phylogenetic tree analysis and visualization. His research interests include data visualization, graph manipulation and layout, and bioinformatics, where he remains active by presenting papers, tutorials, and participating in conference leadership. Some of his public visualization efforts include showing hospital cost versus quality, communicating where tax dollars are spent (finalist in the data viz challenge), and visualizing Common Core math standards dependencies.

  1. S. Oh, M. Pandey, I. Kim, A. Hoogs, and J. Baumes, "Personalized Economy of Images in Social Forums: An Analysis on Supply, Consumption, and Saliency," Aug. 2014.
  2. B. Wylie, D. Dunlavy, W. Davis, and J. Baumes, "Using NoSQL Databases for Streaming Network Analysis," Oct. 2012.
  3. A. Chaudhary and J. Baumes, "Is what you see, what you get? geospatial visualizations address scale and usability," GeoWorld, Jan. 2011.
  4. J. Baumes et al., "Geospatial and Entity Driven Document Visualization for Non-proliferation Analysis," Oct. 2011.
  5. M. Hanwell and J. Baumes, "Community spotlight: vtk's first google summer of code," Kitware Source, Oct. 2011.
  6. B. Wylie and J. Baumes, "A Unified Toolkit for Information and Scientific Visualization," vol. 7243, pp. 72430H--, Jan. 2009.
  7. B. Wylie, J. Baumes, and T. Shead, "G-Space: A Linear Time Graph Layout," vol. 6809, pp. 68090E--, Jan. 2008.
  8. J. Baumes et al., "ViSAGE: A Virtual Laboratory for Simulation and Analysis of Social Group Evolution," Jan. 2008.
  9. P. Crossno, B. Wylie, A. Wilson, J. Greenfield, E. Stanton, T. Shead, L. Ice, K. Moreland, J. Baumes, and B. Geveci, "Intelligence Analysis Using Titan," no. 1, pp. 241--242, Oct. 2007.
  10. A. Cedilnik, J. Baumes, L. Ibanez, S. Megason, and B. Wylie, "Integration of Information and Volume Visualization for Analysis of Cell Lineage and Gene Expression during Embryogenesis," vol. 6809, Jan. 2007.
  11. J. Baumes et al., "Identification of Hidden Groups in Communications," vol. 2, pp. 209--242, Jan. 2007.
  12. J. Baumes, "Algorithms for Discovering Hidden Groups in Communications," Aug. 2006.
  13. J. Baumes et al., "Dynamics of Bridging and Bonding in Social Groups: A Multi-Agent Model," Jun. 2005.
  14. J. Baumes et al., "Efficient Identification of Overlapping Communities," pp. 27--36, May 2005.
  15. J. Baumes et al., "On Hidden Groups in Communication Networks," Jan. 2005.
  16. J. Baumes et al., "Finding Communities by Clustering a Graph into Overlapping Subgraphs," pp. 97--104, Feb. 2005.
  17. J. Baumes et al., "Discovering Hidden Groups in Communication Networks," vol. 15, pp. 82--, Jun. 2004.
  18. J. Baumes, "On the Maximum Average Degree of Graphs.," Jan. 2000.