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

0525 Feature Brian Weaver
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

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 Home
Thumbnail Neutron Star

Neutron stars won’t give up their secrets easily

These supernova-explosion remnants carry clues about nuclear structure

Thumbnail Neutron Reaction

Discovery eliminates gap in neutron reaction modeling

New understanding of fluctuations might improve accuracy of simulations

Thumnail AI Technology Lab

How the Artificial Intelligence Technology Lab at Los Alamos will spark innovation

New hub aims to accelerate the pace of discovery

Thumbnail Wastewater

Can New Mexico turn oil field wastewater into a critical resource?

Recycling opportunities for hydrogen power and minerals, study says

Thumbnail Fentanyl

Strengthening fentanyl signal detection with machine learning

This denoising method would enhance a new tool for screening packages at post offices

Nuclear Plant Card

Analyzing nuclear materials like a detective to enhance power plant security

Facility operations surveillance is vital for nuclear safeguards and nonproliferation