2024 JSM Conference
Join Pacific Northwest National Laboratory (PNNL) at the 2024 Joint Statistical Meeting Conference

August 3–8, 2024
Portland, Oregon
Join Pacific Northwest National Laboratory (PNNL) at the 2024 Joint Statistical Meeting Conference
Portland, Oregon
PNNL takes pride in having one of the largest and most talented teams of statisticians and computational scientists in the Department of Energy’s national laboratory system. Our capabilities in applied mathematics and statistics complement research conducted throughout the Laboratory, enhancing the understanding of physical, chemical, and biological principles through computational modeling, experimentation, and data evaluation.
PNNL will be at the 2024 JSM EXPO (booth #210) on August 3–8, 2024. Stop by the booth to learn more about the Laboratory culture and scientific breakthroughs happening at PNNL. At the booth, you will find researchers, managers, and recruiters available to answer your questions and talk with you about career opportunities.
Our team will be on-site at the following times:
Sunday, August 4:
1:00 p.m. – 6:00 p.m.
8:30 p.m. - 10:30 p.m. Opening Mixer!
Monday, August 5:
9:00 a.m. – 5:30 p.m.
Tuesday, August 6:
9:00 a.m. – 5:30 p.m.
Wednesday, August 7:
9:00 a.m. – 2:30 p.m.
We are looking for statisticians and mathematicians interested in taking on challenges in science, sustainable energy, environment, and national security. Join us!
Text Analysis for Statisticians: Introduction to Advanced Language Modeling (Workshop)
8:30 a.m. – 5:00 p.m.
PNNL Instructors: Robin Cosbey, Karl Pazdernik
Analysis of Social Trends using the General Social Survey
2:00 p.m. – 3:50 p.m.
PNNL Presenter: Natalie Winans
PNNL Co-Authors: Damon Leach, Logan Lewis, Sydney Schwartz, Beata Meluch, Samantha Obermiller, David Degnan, Lisa Bramer, Natalie Winans
Spatial Statistics: Theory and Methods
10:30 a.m. – 12:20 p.m.
PNNL Organizer: Narmadha Mohankumar
Effective Use of Small Multiples and Interactivity: Moving Beyond Static Summary Plots
Presented during: Statistical Visualization Concepts, Tools and Applications for Evidence-Based Policymaking and Improved Public Communication
10:30 a.m. – 12:20 p.m.
PNNL Presenter: Lisa Bramer
IOL: Statistics and Large Language Models
8:30 a.m. – 10:20 a.m.
PNNL Organizer: Karl Pazdernik
What LLMs Do
Presented during: IOL: Statistics and Large Language Models
8:30 a.m. – 10:20 a.m.
PNNL Presenter: Karl Pazdernik
Beyond Prediction: Explainable Artificial Intelligence for Knowledge Discovery in National Security Applications
Presented during: Opening the Black-Box: Novel Approaches and Lessons Learned with Explainable Machine Learning
10:55 a.m. – 11:15 a.m.
PNNL Presenter: Elisabeth Moore
Uncertainty Quantification and Calibrating Confidence Scores in Language Models
Presented during: A Statistical Perspective on Uncertainty Quantification for Deep Learning
11:55 a.m. – 12:15 p.m.
PNNL Presenter: Karl Pazdernik
42 Soil Lipid Atlas
Presented during: Contributed Poster Presentations: Section on Statistics and the Environment
2:00 p.m. – 3:50 p.m.
PNNL Presenter: Damon Leach
PNNL Co-Authors: Lisa Bramer, Sheryl Bell, Kristen Hofmockel, Sneha Couvillion, Damon Leach
Principal Component Regression to Study the Impact of Economic Factors on Disadvantaged Communities
Presented during: Statistics for Environmental Policy and Regulations
12:05 p.m. – 12:20 p.m.
PNNL Presenter: Narmadha Mohankumar
PNNL Co-Authors: Milan Jain, Heng Wan, Sumitrra Ganguli, Kyle Wilson, David Anderson, Narmadha Mohankumar