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Our Researchers

Our researchers produce innovations that keep our economic and social statistics efficient and relevant. Census researchers engage in challenging and rewarding work in a wide variety of fields. Researchers present their findings in working papers, publications, and reports, and in contributions at professional meetings.

David W. Dreisigmeyer 
Survey Statistician 
Center for Economic Studies 

Contact Information

  • 301-763-9691  
  • david.wayne.dreisigmeyer@census.gov  

Fields of Interest

  • Data Mining  
  • Pattern Analysis  
  • Mathematical Optimization  


  • Ph.D., Electrical and Computer Engineering, Colorado State University, 2004  
  • M.S., Mathematics, Colorado State University, 1999  
  • B.S., Pre-law, Juniata College, 1994  

Professional Experience

  • Survey Statistician, US Census Bureau, 2015-Present  
  • Fellow, Federal Data Strategy, 2018-2019  
  • Reviewer, FDA, 2014-2015  
  • Computer Programmer, Addx Corporation, 2012-2014  
  • Project Coordinator, Northern New Mexico College, 2011-2012  
  • Visiting Assistant Professor, University of Pittsburgh, 2008-2010  
  • Postdoctoral Researcher, Los Alamos National Laboratory, 2006-2008  
  • Postdoctoral Researcher, Colorado State University, 2004-2006  

Selected Publications

  • Dreisigmeyer, David. Forthcoming. " Tight Semi-Nonnegative Matrix Factorization ." Off Site arXiv:1709.04395.
  • Dreisigmeyer, David. 2019. "Whitney’s Theorem, Triangular Sets, and Probabilistic Descent on Manifolds." Journal of Optimization Theory and Applications, 182: 935. DOI:https://doi.org/10.1007/s10957-019-01508-9 Off Site.
  • Dreisigmeyer, David. 2019. " A Quasi-isometric Embedding Algorithm ." Pattern Recognition and Image Analysis, 29: 280. DOI:https://doi.org/10.1134/S105466181902007X Off Site.
  • Dreisigmeyer, David. 2018. "Direct Search Methods on Reductive Homogeneous Spaces." Journal of Optimization Theory and Applications, 176: 585. DOI: doi.org/10.1007/s10957-018-1225-5 Off Site.
  • Dreisigmeyer, David. 2015. "Nonconservative Lagrangian mechanics: purely causal equations of motion." Foundations of Physics.
  • Dreisigmeyer, David. 2010. "Accurate Fault Prediction of BlueGeneP RAS Logs Via Geometric Reduction." Fault-Tolerance at Extreme Scale Workshop.
  • Dreisigmeyer, David. 2009. "A multi-reservoir model of influenza infection." Journal of Critical Care.
  • Dreisigmeyer, David. 2008. "Determinants of bistability in a mathematical model of induction of the Escherichia coli lac operon." IET Systems Biology.
  • Dreisigmeyer, David. 2008. "Geometric modeling of rigid and non-rigid 3D shapes using the global geodesic function." Computer Vision and Pattern Recognition Workshops.
  • Dreisigmeyer, David. 2007. "A simplicial continuation direct search method." LA-UR-07-2755.
  • Dreisigmeyer, David. 2007. "Direct search methods over Lipschitz manifolds." LA-UR-07-1073.
  • Dreisigmeyer, David. 2007. "Approximate inverse and implicit functions using an M/NSET variation." LA-UR-07-1214.
  • Dreisigmeyer, David. 2007. "Mapping the identity for classification in nonlinear spaces." LA-UR-07-1072.
  • Dreisigmeyer, David. 2006. "Equality constraints, Riemannian manifolds and direct search methods." LA-UR-06-7406.
  • Dreisigmeyer, David. 2006. "Direct search methods over Riemannian manifolds." LA-UR-06-7416.
  • Dreisigmeyer, David. 2006. "A pseudo-isometric embedding algorithm." LAUR- 06-3495.
  • Dreisigmeyer, David and P. Young. 2004. "Extending Bauer's corollary to fractional derivatives." Journal of Physics A.
  • Delnero, C., David Dreisigmeyer, D. Hittle, P. Young, C. Anderson, and M. Anderson. 2004. "Exact solution of the governing PDE of a hot water to air finned tube cross flow heat exchanger." International Journal of HVAC&R Research.
  • Dreisigmeyer, David. 2004. "Dynamic and geometric phases in the Hestenes-Dirac theory." Foundations of Physics Letters.
  • Dreisigmeyer, David. 2003. "Nonconservative Lagrangian mechanics: A generalized function approach." Journal of Physics A.
  • Dreisigmeyer, David. 1999. "An adaptive algorithm for generating optimal bases for digital images." Proceedings of SPIE's 44th Annual Meeting.

Approved on: September 5, 2019
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