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 …

Michael Murrell

Michael Murrell

Assistant Professor

  • Discovery Fellow

Physics and Synthesis of Soft, Active and Biological Matter

Sean Palecek

Sean Palecek

Professor

  • Discovery Fellow

Engineering platforms to regulate human pluripotent stem cell differentiation

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.

Sailendharan Sudakaran

Sailendharan Sudakaran

Madison Microbiome Hub Manager / Multi Omics Hub Coordinator

  • Research Staff

Campus resource to support researchers interested in tackling a broad spectrum of microbiome research

Roy Lab

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.

Yin Research Group

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.

Sridharan Lab

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.

James Dowell

Assistant Scientist, Epigenetics

  • Discovery Fellow

Epigenetic mechanisms of Alzheimer's disease

Sydney Thomas

  • Graduate Student

Mechanisms that link the gut microbiome to host epigenetic phenotypes

Xuehua Zhong

Associate Professor

  • WID Faculty

Epigenetic regulation of plant traits and environmental adaptation.

ZhengZheng (Jane) Tang

ZhengZheng Tang

Assistant Professor

  • Discovery Fellow

Developing statistical methods and computational tools for high-throughput omics data.

Lena Vincent

Lena Vincent

  • Graduate Student
  • Kohler Science Fellow @ WID

The chemical origins of life and the potential for life on other worlds

Multi-Omics Hub

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 …

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.

Sushmita Roy

Sushmita Roy

Associate Professor

  • WID Faculty

Computational methods to model cellular networks

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.

John Yin

John Yin

Vilas Distinguished Achievement Professor

  • WID Faculty

Forecasting of virus-host growth and infection spread; physical and chemical origins of life