Sandia Neuroscience

Christy Warrender, Ph.D.

Computer Science

Christy faceChristy Warrender is a Senior Member of the Technical Staff in the Data-driven and Neural Computing group (1462) at Sandia National Laboratories, where she is a researcher in computational neuroscience modeling. 

Christy received her Ph.D. in computer science from the University of New Mexico, a Master’s degree in computer science from the University of Colorado, Colorado Springs, and a Bachelor’s degree in physics from the Massachusetts Institute of Technology.  She has worked on computational models of a variety of biological systems and on biologically-inspired machine learning algorithms.

Contact Information

cewarr@sandia.gov

Research Areas

Computational Neuroscience

  • Neural modeling and simulation software development
  • Quantitative assessing of neural simulator capabilities and impact of parameterization on simulated dynamics

Neural Computing

  • Assessing methods for improving machine learning techniques based on analysis and models of neural systems
  • Implementing neural algorithms for image processing and detection systems

Peer-reviewed Publications

  1. F. Rothganger, C. E. Warrender, D. Trumbo, J. B. Aimone, “N2A: a computational tool for modeling from neurons to algorithms.”  Frontiers in Neural Circuits, 8:1 (2014)
  2. A. Speed, S. J. Verzi, J. S. Wagner, C. Warrender, “Optical holography as an analogue for a neural re-use mechanism:  Comment on Anderson (2010)”.  Behavioral and Brain Sciences, Vol. 33, No. 4, pp. 291-292 (2010).
  3. A. M. Bouchard, C. E. Warrender, and G. C. Osbourn. “The ‘Programming Language’ of Dynamic Self-Assembly.” In Systems Self-Assembly: Multidisciplinary snapshots, Elsevier, Amsterdam, (2008).
  4. A. M. Bouchard, C. E. Warrender and G. C. Osbourn. “Harnessing Microtubule Dynamic Instability for Nanostructure Assembly.” Phys Rev E, Vol. 74, No. 4, Pt 1, article #041902 (2006).
  5. C. Warrender, S. Forrest, and F. Koster. “Modeling Intercellular Interactions in Early Mycobacterium Infection.” Bulletin of Mathematical Biology, Vol. 68, No. 8, pp. 2233-2261 (2006).
  6. C. Warrender, S. Forrest, and L. Segel. “Homeostasis of Peripheral Immune Effectors”. Bulletin of Mathematical Biology, Vol. 66, No. 6, pp. 1493–1514 (2004).
  7. C. Warrender, S. Forrest, and B. Pearlmutter. “Detecting Intrusions Using Systems Calls: Alternative Data Models.” 1999 IEEE Symposium on Security and Privacy, (1999).
  8. C. E. Warrender and M. F. Augusteijn. “Fusion of Image Classifications Using Bayesian Techniques with Markov Random Fields.” Int. J. of Remote Sensing, Vol. 20, No. 10, pp. 1987-2002 (1999).
  9. M. F. Augusteijn and C. E. Warrender. “Wetland Classification Using Optical and Radar Data and Neural-Network Classification.” Int. J. of Remote Sensing, Vol. 19, No. 8, pp. 1545-1560 (1998).
  10. M. F. Augusteijn and C. E. Warrender. “Image Indexing Applied to Typewriter Font Identification.” Neural Computing and Applications, Vol. 4, pp. 209-217 (1996).