John Denu

Professor, Multi-Omics Leader

  • WID Faculty

Epigenetic chromatin changes that regulate cell signaling and metabolism

ZhengZheng (Jane) Tang

ZhengZheng Tang

Assistant Professor

  • Discovery Fellow

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

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 …

Rupa Sridharan

Rupa Sridharan

Associate Professor

  • WID Faculty

Epigenetic control of cell identity in pluripotency, development and disease

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.

Randolph Ashton

Randy Ashton

Associate Professor

  • WID Faculty

Engineering brain and spinal cord tissues ex vivo using human pluripotent stem cells

John Yin

John Yin

Vilas Distinguished Achievement Professor

  • WID Faculty

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

Understanding the Immune System with Machine Learning

Systems Biology researchers Deborah Chasman and Sushmita Roy are using machine learning to identify virus and pathogenicity-specific regulatory networks which may guide the design of effective therapeutics for infectious diseases. The work is described in a recent paper in PLOS Computational Biology.