Los Alamos National Laboratory

Los Alamos National Laboratory

Delivering science and technology to protect our nation and promote world stability
Find Expertise logo

Profile Pages

View homepages for scientists and researchers. Explore potential collaborations and project opportunities. Search the extensive range of capabilities by keyword to quickly find who and what you are looking for.

Devin Craig Francom

Devin Francom

Phone (505) 664-0873


  • Computational Physics and Applied Mathematics
  • Monte Carlo methods
  • Statistics
  • Uncertainty analysis
  • Computer and Computational Sciences
  • Data mining
  • Information Science and Technology
  • Uncertainty quantification (UQ)
  • Machine Learning
  • Science of Signatures - Remote and Standoff Sensing
  • Real-time knowledge extraction
  • Computational Physics and Applied Mathematics
  • Sensitivity analysis
  • Earth and Space Sciences
  • Inverse modeling
  • Model calibration


Bayesian modeling and computation, nonparametric regression, machine learning, functional data analysis, sensitivity analysis, uncertainty quantification for computer experiments


PhD, Statistics and Applied Mathematics, University of California Santa Cruz, 2017

MS, Statistics, Brigham Young University, 2013

BS, Statistics, Brigham Young University, 2013


LANL Positions

Scientist, Statistical Sciences Group (CCS-6), 2017-present



D Francom, B Sansó, V Bulaevskaya, D Lucas, and M Simpson, "Inferring Atmospheric Release Characteristics in a Large Computer Experiment using Bayesian Adaptive Splines," Journal of the American Statistical Association, in press.

D Francom and B Sansó, "BASS: An R Package for Fitting and Performing Sensitivity Analysis of Bayesian Adaptive Spline Surfaces," Journal of Statistical Software, in press.

A Biswas, C Biwer, D Walters, J Ahrens, D Francom, E Lawrence, R Sandberg, DA Fredenburg, and C Bolme, "An interactive exploration tool for understanding high-dimensional shock physics datasets," Computing in Science and Engineering, in press.

D Walters, A Biswas, E Lawrence, D Francom, DJ Luscher, DA Fredenburg, K Moran, C Sweeney, RL Sandberg, J Ahrens, and C Bolme, "Bayesian calibration of strength parameters using hydrocode simulations of symmetric impact shock experiments of al-5083," Journal of Applied Physics, 124(20):205105, 2018.

D Francom, B Sansó, A Kupresanin, and G Johannesson, "Sensitivity Analysis and Emulation for Functional Data using Bayesian Adaptive Splines," Statistica Sinica, 28(2):791–816, 2018.

J Park, MK Seeley, D Francom, CS Reese, and JT Hopkins, "Functional vs. traditional analysis in biomechanical gait data: An alternative statistical approach," Journal of Human Kinetics, 60(1):39–49, 2017.

J Park, WM Denning, JD Pitt, D Francom, JT Hopkins, and MK Seeley, "Effects of Experimental Anterior Knee Pain on Muscle Activation During Landing and Jumping Performed at Various Intensities," Journal of Sport Rehabilitation, 26(1):78–93, 2017.

WM Denning, S Woodland, JG Winward, MG Leavitt, AC Parcell, JT Hopkins, D Francom, and MK Seeley, "The Influence of Experimental Anterior Knee Pain During Running on Electromyography and Articular Cartilage Metabolism," Osteoarthritis and Cartilage, 22(8):1111–1119, 2014.

GG Schultz, ES Johnson, CW Black, D Francom, and M Saito, "Traffic & Safety Statewide Model and GIS Modeling," Technical Report UT-12.06, Utah Department of Transportation Research Division, Salt Lake City, Utah, 2012.



Documents and Files