Richard (Dick) Smith and Ljiljana (Lili) Paša-Tolić are experts in developing technology and techniques for mass-spectrometry-based multi-omics measurements.

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

Laboratory fellow title given to those who have reached the top of their field and earned international recognition from peers.

PNNL’s Karol Kowalski leads one of the 29 projects selected to receive a total of $73 million in funding.

The U.S. Department of Energy has selected the Scalable Predictive Methods for Excitations and Correlated Phenomena project to receive funding to develop software for chemical research.

PNNL senior electrical engineer, Amy Qiao, tapped to serve IEEE Photonics Society Emerging Technologies Task Force.

Kristin Burnum-Johnson presented at two virtual events in June on proteome mapping.

Paper published in the official journal of the International Society of Microbial Ecology examines metabolism of virus-infected marine bacterium.

The peer-reviewed journal publishes topics related to proteomics, genomics, transcriptomics, metabolomics, lipidomics, and systems biology approaches.

PNNL biomedical scientist Josh Adkins brings expertise analyzing biomolecules in dynamic systems.

The Metabolomics Association of North America promotes the field’s development across the continent.

PNNL cancer cell biologist Karin Rodland has been recognized by the international Human Proteome Organization.

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.

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 scientists Richard (Dick) Smith and Ljiljana (Lili) Paša-Tolić are recognized by The Analytical Scientist in its 2019 Power List as two of 2019’s top 100 minds in analytical science.

Jaehun Chun spoke at a National Academies of Sciences, Engineering, and Medicine open data-gathering session on separation science.