Center for Computing Research (CCR)

Center for Computing Research

Mark Daniel Rintoul

Mark Daniel Rintoul
Machine Intelligence
Email: mdrinto@sandia.gov
Phone: 505/844-9592

Mailing address:
Sandia National Laboratories
P.O. Box 5800, MS 1326
Albuquerque, NM
87185-1320

I work primarily in the area of using high-performance computing and advanced mathematical modeling techniques to solve complex real-world problems.  The application areas that I have worked in include material science, biology, computational geometry, and various national defense areas.

Education/Background

B.S. Caltech (Physics, 1989), Ph.D. Purdue (Physics, 1994).  I worked on material science and operations research problems as a research associate at Princeton before starting work at Sandia in 1997.  Additionally, I spent 11 years in management at Sandia before returning to full time research in 2013. 

Selected Publications & Presentations

2015
  • Rintoul, Mark Daniel, Andrew T. Wilson, "Trajectory Analysis via a Geometric Feature Space Approach," Journal Article, Statistical Analysis and Data Mining: The ASA Data Science Journal, Vol. 8, pp. 287–301, Accepted/Published October 2015.
  • Woodbridge, Diane Myung-kyung, Andrew T. Wilson, Mark Daniel Rintoul, Richard H. Goldstein, "Time series discord detection in medical data using a parallel relational database," Conference Paper, IEEE International Conference on Bioinformatics and Biomedicine, November 2015.
2014