DOE/LANL Jurisdiction Fire Danger Rating:
  1. LANL Home
  2. Media
  3. Newsletters
  4. STE Highlights
June 5, 2025

Weaver elected fellow by American Statistical Association

Group leader helps advance statistical methods in national security science

Brian Weaver heads a group that supports scientists working on national security and global security projects.

Researcher Brian Weaver, of the Computer, Computational and Statistical Sciences division at Los Alamos National Laboratory, has been elected a fellow of the American Statistical Association for his distinguished service and commitment to advancing the field.

The ASA is the world’s largest community of statisticians and data scientists, with members located across industry, government and academia in more than 90 countries. The newly elected fellows will be recognized at the Joint Statistical Meetings in Nashville in August. 

What he did: Weaver was selected “for exemplary leadership in the development of statistical methods in national security science, for major collaborations that have advanced the physical sciences, and for sustained impact on the ASA through a dedicated history of strategic service.”

Of note: 

  • Weaver leads the Statistical Sciences group (CCS-6), which is involved in a wide range of science, technology and engineering projects supporting national and global security missions.
  • He has researched using artificial intelligence and machine learning to support weapons, space physics, planetary science and nuclear safeguards.
  • He received his doctorate in statistics from Iowa State University. 

LA-UR-25-24868

Share

  • mail

Stay up to date

Subscribe to Stay Informed of Recent Science, Technology and Engineering Highlights from LANL

Subscribe Now

More STE Highlights Stories

STE Highlights Homearrow_forward

Want to control particle motion in materials? Consider these findings

Los Alamos researchers describe new possibilities for understanding how soft materials organize under changing interactions

Data storage solution could prevent SI workload crashes

Lattice project gets attention at 2026 NetApp Insight

Protein function is key to threat detection and more

Los Alamos scientists use machine learning to predict how proteins function

Red or green? Tiny bacteria give chile crops a helping hand

Los Alamos team could enable a more resilient food supply through its microbial treatment

Clarke named fellow of ASM International

Honor recognizes far-reaching materials contributions

New statistical mechanics textbook series, built for learning by doing

Intended for physics and engineering students, the three-volume series connects theoretical concepts with laboratory demonstrations

Los Alamos National Laboratory

P.O. Box 1663

Los Alamos, NM 87545

(505) 667-5061

At The Lab

  • Business Opportunities
  • Jobs
  • Organizations
  • Research Library
  • User Facilities

Information

  • Emergency
  • Ombuds
  • Reading Room
  • Resources
  • Science Museum

For Employees

  • AskIT
  • LANLInside
  • MyMail
  • Training
DOE White Seal
  • Terms of Use/Privacy

Managed by Triad National Security, LLC for the U.S. Dept. of Energy’s NNSA

Copyright 2026 Triad National Security, LLC. All Rights Reserved.

Learn about the Department of Energy’s Vulnerability Disclosure Program