Amy Sims, PhD is a Biomedical Scientist in the Chemical and Biological Signatures Division of the National Security Directorate at the Pacific Northwest National Laboratory (PNNL) in Richland, WA. She earned her Ph.D. from Vanderbilt University Medical Center and worked with Ralph Baric, PhD at the...
Filter results
Category
- Scientific Discovery (92)
- Biology (67)
- Earth System Science (34)
- Microbiome Science (18)
- Human Health (13)
- Chemistry (7)
- Computational Research (7)
- Integrative Omics (5)
- Materials Science (5)
- Chemical & Biological Signatures Science (2)
- National Security (2)
- Plant Science (2)
- Weapons of Mass Effect (2)
- Atmospheric Science (1)
- Computational Mathematics & Statistics (1)
- Data Analytics & Machine Learning (1)
- Ecosystem Science (1)
Tags
- Viruses (13)
- Soil Microbiology (10)
- Health (9)
- Virology (9)
- Virus (9)
- Mass Spectrometry (7)
- PerCon SFA (7)
- Omics (5)
- Synthetic Biology (5)
- Ions (4)
- Microbiome (4)
- Nanoparticles (4)
- Proteomics (4)
- sequencing (4)
- Electrical energy (3)
- Energy (3)
- Fungi (3)
- Genomics (3)
- Metagenomics (3)
- Predictive Phenomics (3)
- RNA Sequence Analysis (3)
- Sodium (3)
- Transcriptomics (3)
- Aggregation (2)
- Anions (2)
- Cations (2)
- metabolomics (2)
- microbiome stability (2)
- Polymer Materials (2)
- Spectroscopy (2)
John is an accomplished lipid biochemist and structural biologist with an interest in understanding molecular pathology of disease. He earned his Ph.D. from Wake Forest School of Medicine where he received training in lipid biochemistry under the late Dr. Lawrence Rudel studying the role of low...
Nick Reichart earned his PhD in biochemistry from Montana State University where he developed a workflow for bioorthogonal non-canonical amino acid tagging to determine the activity of uncultured microbes in the hot springs of Yellowstone National Park. Afterward, he started as a postdoctoral...
Dr. Bramer is the team lead for Data Science and Biostatistics in the Computational Biology Group at PNNL. Her current research is focused on applying and developing statistical and machine learning methods for biological data, particularly mass spectrometry omics data, and developing software tools...