Biography Dr. Smith's research interests span the development of advanced analytical methods and instrumentation, with particular emphasis on high-resolution separations and mass spectrometry, and their applications in biological and biomedical research. This has included creating and applying new...
David Degnan is a biological data scientist who develops bioinformatic and statistical pipelines for multi-omics data, specifically the fields of proteomics, metabolomics, and multi-omics (phenotypic) data integration. He has experience with top-down & bottom-up proteomics analysis, genomics &...
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...
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...
Biography Kelly is a senior data scientist in the Computational Biology group within the Biological Sciences Division at Pacific Northwest National Laboratory (PNNL). After earning a MS in Biostatistics from the University of Washington in 2012, she worked at a cancer research company for two years...
Jessica Kerby is a systems engineer on the Renewables Integration Team within the Distributed Systems Group at the Pacific Northwest National Lab. Jessica holds an MS in Renewable Energy Engineering from Oregon Tech, an MS in Physics from the University of Cincinnati, and a BS in Physics from...
Bethel is a systems engineer at PNNL with a research focused on understanding the social impacts of renewable and distributed energy systems. She currently leads research projects on energy equity and justice (EEJ) on energy storage, distributed wind, and marine energy adoption and deployment. In...
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...
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...
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...
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...
