Sam Rikkers was born and raised in south central Wisconsin but has managed to make his mark in far-flung places. A graduate of Columbia University with a Master of International Affairs, he has served the Peace Corps in Zambia, earned a Law Degree from the University of Wisconsin and served …
WID researcher Sushmita Roy and collaborators at UW–Madison and the University of Florida will use a $7 million grant from the U.S. Department of Energy to study how some plants partner with bacteria to create usable nitrogen and to transfer this ability to the bioenergy crop poplar.
A computational biology group interested in developing statistical computational methods to understand regulatory networks driving cellular functions. The lab works to identify networks under different environmental, developmental and evolutionary contexts, comparing these networks across contexts, and construct predictive models from these networks.
Investigating how living organisms cooperate or compete in diverse and changing environments. Methods and perspectives are drawn from many fields, including ecology, evolution, molecular biology, physics, chemistry, engineering, mathematics, and computer science. The lab uses data-driven mechanistic and statistical models to predict when microbes or other organisms will persist or perish, with a broad goal of promoting human health through effective management of microbe-host interactions.
The main scientific focus of the lab is in defining how the epigenome controls cell identity. We want to know how non-genetic information controls functional specialization of a cell and use this knowledge to direct efficient conversion of desired cell types with the ultimate goal of improving stem cell based therapy.
The Multi-Omics Hub will focus on the use of big data about the genes, microorganisms, and metabolites to understand biological systems. WID’s expertise makes it an ideal home for the Epigenetics Initiative for the large campus community that studies the epigenome, and as such WID will organize meetings, seminars, mutli-PI …
In a paper in Cell Systems, Sushmita Roy and colleagues develop a probabilistic graphical model-based method, multi-species regulatory network learning that uses a phylogenetic framework to infer regulatory networks in multiple species simultaneously.
WID researchers Stephen Wright and Robert Nowak are part of a UW2020: WARF Discovery Initiative project to create machine learning tools that dramatically reduce the time and cost associated with screening compounds for therapeutic relevance.
Systems Biology researcher Kalin Vetsigian and graduate student Ye Xu recently published findings in Nature’s Scientific Reports about the stochasticity of growth within Streptomycetes spore communities.
Erik Wright, an alumnus of WID’s System’s Biology theme, is getting his feet wet as a new faculty member at the University of Pittsburgh. He wrote about his career and vision in Science.