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.

Mary Frances Dorn

Phone (505) 606-0904


  • Computational Physics and Applied Mathematics
  • Monte Carlo methods
  • Statistics
  • Computer and Computational Sciences
  • Machine learning,
  • Data mining
  • Information Science and Technology
  • Uncertainty quantification (UQ)
  • Visualization


Statistical modeling, nonparametric regression and classification, machine learning, Bayesian modeling, uncertainty quantification


Ph.D. Statistics, Texas A&M University, 2017

  • Thesis: Semiparametric classification under a forest density assumption

M.S. Mathematics, Southern Illinois University, 2011

  • Thesis: Evaluating Fisher information in order statistics

A.B. Economics and Statistics, University of Chicago, 2009


LANL Positions

Research Scientist, Statistical Sciences Group (CCS-6), May 2017 - Present


Professional Societies

American Statistical Association

Phi Beta Kappa



L.T. Jordan Fellow, Texas A&M University 2014

ASA Special Student Award 2014



Mary Frances Dorn, Amit Moscovich, Boaz Nadler, and Cliff Spiegelman. A Semiparametric Classification Approach under a Forest Density Assumption. (In preparation).