Tools for Discovery: Sam Rikkers

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 …

Randolph Ashton Continues Research into Causes of Lou Gehrig’s Disease

In August 2017, Randolph Ashton received almost $800,000 from the National Institute of Neurological Disorders and Stroke, part of NIH, to continue a five-year research study of Lou Gehrig’s disease (amyotrophic lateral sclerosis, or ALS), after successfully completing its first phase.

Communication and Policy the Focus of Two Science Festival Events

WID Director Jo Handelsman and the Catalysts for Science Policy were instrumental in assembling fantastic panels for mini-symposia about science policy and science communication geared toward graduate students, postdocs, and faculty but open to anyone interested in science.

Weaning Crops from Nitrogen Fertilizers: Examining Evolution’s Innovations

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.

UW-Madison to be Partner in Center for Cell Manufacturing Technologies

The National Science Foundation has awarded nearly $20 million to a consortium of universities to support a new engineering research center that will develop transformative tools and technologies for the consistent, scalable, and low-cost production of high-quality living therapeutic cells. Several WID investigators are collaborators on the project.

Connecting the Dots: a New Method to Understand Cell Type Transitions

Wisconsin Institute for Discovery (WID) researchers Rupa Sridharan and Sushmita Roy are combining their expertise in regenerative biology and computational biology to better understand how cells transition from one type to another through gene regulation.

Inference and Evolutionary Analysis of Genome-Scale Regulatory Networks in Large Phylogenies

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.