Mary Lancaster, epidemiologist and data scientist, co-authored a chapter on cyberbiosecurity for the NATO Science for Peace and Security book series.

Tumeo joins other computer scientists in a contributed article on graph processing systems to the Communications of the ACM.

DOE’s continued support will allow CENATE researchers to advance computing through the evaluation of novel technologies.

PNNL data scientist was invited to give the first big-picture talk about autonomous control systems at the Autonomous Discovery in Science and Engineering Workshop.

PNNL recognizes some of the outstanding postdoctoral researchers that move science forward during National Postdoc Appreciation Week.

PNNL computer scientist Ang Li serves as one of the principal investigators for a project selected to receive DOE funding.

A team of PNNL researchers are looking at how to evaluate robustness and accountability, fairness, and transparency of artificial intelligence models used to detect and quantify deceptive content online.

More than 30 PNNL interns contributed to the Airport Risk Assessment Model, a web-based tool that helps airport security stakeholders prioritize resource allocations.

When training for chemical and biological threats, in-person exercises and drills can be very limited due to the hazardous nature of the agent.

Svitlana Volkova, chief scientist for decision intelligence and analytics at PNNL, was invited as a panelist at the SIAM International Conference on Data Mining

The multi-year project funded by DOE’s High Energy Physics program will focus on using machine learning to prevent power outages.

New computational modeling research provides insights into biological processes and metabolic regulation.

PNNL computer scientists joined international leaders in machine learning to present research to detect and address potential cybersecurity threats and devise epidemic interventions.

Erol Cromwell and Yan Shi, researchers at PNNL, used their backgrounds in software engineering to provide a platform for atmospheric data analysis.

PNNL data scientists Svitlana Volkova and Emily Saldanha, along with former PNNL intern Pamela Bilo Thomas, will publish their research on online information spread in Nature's Scientific Reports.

By combining state-of-the-art computational and experimental approaches, researchers have begun to resolve the effects of solvent molecules on electron transfer.

PNNL cybersecurity expert was invited to join panel of accomplished cybersecurity leaders to mark International Women's Day.

Niri Govind and Amity Andersen co-hosted a workshop to explain how to use theory and modeling in the interpretation of X-ray absorption spectroscopy data.

George Karniadakis receives award highlighting 30 years of work developing computational methods to solve real-world problems.

Michael Henry, a senior data scientist at PNNL, has accepted a joint appointment at the Texas A&M University RELLIS Center for Applied Research and Experiential Learning.