Postdoctoral fellows are the lifeblood of research institutions, yet their contributions are often underrecognized. At the Institute for Systems Biology (ISB), postdocs enter the scientific workforce with passion, vision, and advanced training – bringing the fresh ideas that fuel discovery.
Researchers at ISB have developed personalized models to predict C. diff colonization risk and test targeted probiotics. This approach could prevent infection before it starts and paves the way for precision microbiome therapies tailored to individual gut ecosystems.
Gibbons – an expert in microbial ecology and evolution, computational systems biology, the human gut microbiome and its impacts on health, and head of ISB’s Gibbons Lab – has been promoted to Associate Professor.
ISB researchers have shown which blood metabolites are associated with the gut microbiome, genetics, or the interplay between both. Their findings, published in the journal Nature Metabolism, have promising implications for guiding targeted therapies designed to alter the composition of the blood metabolome to improve human health.
The 2022 ISB Virtual Microbiome Series consisted of a two-day virtual course and one-day symposium on global perspectives in microbiome research.
What are multi-omics? Why does our microbiome matter? What’s the difference between genetics and genomics? What is a digital twin? ISB and Seattle Science Foundation have partnered to create videos answering questions like these and more, showcasing ISB scientists and their work.
Kat Ramos Sarmiento joins the lab as a Research Associate. Kat recently graduated with a B.S. in Microbiology from UCSD. She began her laboratory career as a laboratory assistant at Garage Brew Co., where she managed yeast strains, tracked fermentation, and monitored checkpoints in the brewing process.
This proposal, entitled “CyberGut: towards personalized human-microbiome metabolic modeling for precision health and nutrition“, provides five years of NIH funding for the design and testing of an integrated host-microbiome-diet metabolic model for rapidly and accurately predicting personalized responses to dietary inputs.