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.


Statistical inference for network data

Network analysis

Regression of dependent data

Statistical modeling


Ph.D. Statistics, Colorado State University, 2019 M.S. Mechanical Engineering, University of California -- Davis, 2010 B.S. Aerospace Engineering, Georgia Institute of Technology, 2008  


LANL Positions

Research Scientist, Statistical Sciences Group (CCS-6), 2020 -- Present  


Professional Societies

American Statistical Association, 2016 -- present Society of Industrial and Applied Mathematics, 2017 -- Present



Marrs, F.W., Campbell, B.C., Fosdick, B.K., Cranmer, S.J., and Böhmelt, T. (2019), "Inferring influence networks from longitudinal bipartite relational data", Journal of Computational and Graphical Statistics, DOI:10.1080/10618600.2019.1694523, 1-13.

Campbell, B.C., Marrs, F.W., Böhmelt, T., Fosdick, B.K., and Cranmer, S.J.  (2019), "Latent influence networks in global environmental politics," PLOS One, 14(3), e0213284.

Gonzalez-Voller, J., Wood. A., Marrs, F.W., Ephraimson-Abt, V., and Garcia, A. (2019) "A Randomized-controlled pilot  study comparing a one-day and four-week mindfulness-based group intervention for family  caregivers," The Journal for Specialists in Group Work, 44(4), 228-234.

Marrs, F.W., Fosdick, B.K., and McCormick, T.H. (2019), "Standard errors for regression on relational data with exchangeable errors," arXiv:1701.05530 [stat.ME],  Under review.

Marrs, F.W. and Fosdick, B.K. (2020), "Regression of binary network data with exchangeable latent errors," arXiv:1911.00082 [stat.ME], In preparation.