Andrew McNaughton is a computational scientist currently working in the areas of modeling metabolic networks, multi-omics data analysis and integration, and computational chemistry. His areas of interest include high performance computing (HPC), artificial intelligence, and machine learning (ML) to...
Historically neglected by microbial ecologists, soil viruses are now thought to be critical to global biogeochemical cycles. However, our understanding of their global distribution, activities, and interactions with the soil microbiome remains limited. Here, we present the Global Soil Virus (GSV)...
"Moisture modulates soil reservoirs of active DNA and RNA viruses" Soil is known to harbor viruses, but the majority are uncharacterized and their responses to environmental changes are unknown. Here, we used a multi-omics approach (metagenomics, metatranscriptomics and metaproteomics) to detect...
The soil microbiome performs many functions that are key to ecology, agriculture, and nutrient cycling. However, because of the complexity of this ecosystem we do not know the molecular details of the interactions between microbial species that lead to these important functions. Here, we use a...
Katherine joined the Sprunger Lab at the W. K. Kellogg Biological Station (part of Michigan State University) in January 2023. She came to KBS from Washington State University, where she earned her Ph.D. in soil science in 2022. Her research interests include agroecology with respect to how land...
Emeritus Professor Forage and Extension Agronomist at Washington State University https://css.wsu.edu/profile/?nid=fransen
Two factors that are well-known to influence soil microbiomes are the depth of the soil as well as the level of moisture. Previous works have demonstrated that climate change will increase the incidence of drought in soils, but it is unknown how fluctuations in moisture availability affect soil...
Margaret S. Cheung is a biological physicist and a computational scientist on the Computing, Analytics, and Modeling team at EMSL. She graduated from the National Taiwan University in 1994 and went on to obtain a Ph.D. degree from the University of California at San Diego in 2003. She was then...
Most of Vlad's research is focused on age-related neurodegenerative disorders and fundamentals of aging and the molecular mechanisms underpinning those phenomena. He considers mass spectrometry-based proteomics as a key tool in his research. The richness of the mass spectrometry data and complexity...
Jeremy Zucker is a computational scientist in the department of computational biology at Pacific Northwest National Laboratory. He is a principal investigator for a variety of sponsors, including DARPA, DOE, and internally funded LDRDs. He uses machine learning-powered causal models — abstract and...
Ethan is an applied mathematician with experience in control, optimization, modeling, and machine learning. He is interested in leveraging the tools and successes of data science to push the boundaries of complexity and scale possible within scientific computing. Within modeling, his interests are...
In general, I am interested in studying complex systems by integrating both mechanism-based and data-driven approaches, in order to understand their dynamics, evolution, control, and design. The ultimate goal is to understand (some of) the design principles of complex systems, whether it is physical...
Samantha Powell earned her PhD from the University of Oklahoma in the lab of Dr. George Richter-Addo, using X-ray crystallography to study heme proteins and Clostridium difficile nitroreductases and their interactions with small molecules. From 2019-2020, she was a National Research Council...
Dr. Tong Zhang is a scientist in the Biological Sciences Division at the Pacific Northwest National Laboratory (PNNL). His research focuses on using mass spectrometry-based proteomics to understand fundamental biology and improve human health. His current projects include developing redox proteomics...
