Fifty-eight PNNL staff members were recognized as members of enterprise-wide teams that helped address challenges in national health and security through transformative science and technology solutions.
Red teaming for CPS, the process of challenging systems, involves a group of cybersecurity experts to emulate end-to-end cyberattacks following a set of realistic tactics, techniques, and procedures.
A new review paper led by senior research scientist Chun-Long Chen and featured on the cover of Accounts of Chemical Research summarizes advances by PNNL scientists in developing sequence-defined peptoids.
This committee represents the country’s soil science community in the International Union of Soil Sciences, advises The National Academies, and communicates with professional societies and organizations.
Twelve researchers from PNNL presented at the 2020 Metabolomics Association of North America virtual conference in mid-September. Their presentations included a plenary talk, keynote talks, oral presentations, posters, and a lightning talk.
Biomedical scientist Brian Thrall co-edited the issue published in the journal NanoImpact. Three of the articles in the issue include multiple PNNL authors.
PNNL computational biologist Bobbie-Jo Webb-Robertson was recently awarded the “Spirit of nPOD award” to acknowledge her hard work in building, coordinating, and leading the Data Science Working Group.
PNNL microbial ecologist Janet Jansson will serve on a committee representing the U.S. soil science community in the International Union of Soil Sciences.
After 50 years in science and on the eve of retirement, Laboratory Fellow Karin Rodland, a cancer cell biologist at PNNL, is working on experiments she has dreamed about for decades.
PNNL biomedical scientist Ernesto Nakayasu brings expertise in host-pathogen interactions and the interconnection between the immune response and cellular metabolism to provide constructive review for submitted manuscripts.
Jason McDermott is a PNNL computational biologist whose research interests include machine learning, data integration, and network inference. He unravels complex data related to cancer, infectious disease, and soil microbiomes.