Dr. Bohutskyi’s research focus is in developing new bioprocesses addressing sustainable transformation of carbon dioxide, biomass, and wet or liquid waste, including carbon, nitrogen, phosphorus, and other critical elements into bioproducts, chemicals, and fuels. This research uses a suite of...
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...
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
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...
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...
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...
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...
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...
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...
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...
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...
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...
