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

Po-Ling Loh

Po-Ling Loh

Assistant Professor

  • WID Affiliate

High-dimensional statistics, compressed sensing, nonconvex optimization, robust statistics, and network inference.

Miron Livny

Miron Livny

CTO, Professor

  • WID Faculty

Efficiency in data storage and management

Scott Sievert

Scott Sievert

  • Graduate Student

Large scale machine learning, distributed optimization and active learning.

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.

Akhil Sundararajan

  • Graduate Student

Convergence analysis of convex optimization algorithms using techniques from robust control theory

Blake Mason

  • Postdoctoral Associate

Metric learning and active machine learning, focussed on reducing the sample complexity of learning.

Brittany Baur

Brittany Baur

  • Postdoctoral Associate

Predicting long-range enhancer-promoter interactions

Adam Christensen

Adam Christensen

Assistant Scientist

  • Research Staff

Building optimization models that help untangle issues of environmental sustainability.

Spencer Haws

Spencer Haws

  • Graduate Student

Regulation of histone methylation via the sensing of methyl-donor metabolite availability.

Sydney Thomas

  • Graduate Student

Mechanisms that link the gut microbiome to host epigenetic phenotypes

Lauren Michael

Lauren Michael

Research Computing Facilitator, Center for High Throughput Computing

  • Discovery Fellow

Facilitating compute-driven transformations to research projects via personalized consulting.

Christina Koch

Christina Koch

Research Computing Facilitator

  • Research Staff

Facilitating transformative science through computing.

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 …

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.

Ross Tredinnick

Ross Tredinnick

Systems Programmer

  • Research Staff

Immersive visualization, 3D environment scanning, virtual reality research and development

Stephen Wright

Steve Wright

George B. Dantzig Professor of Computer Sciences

  • Discovery Fellow

Optimization algorithms with applications to data analysis and other areas.