Claudia Solís-Lemus

Assistant Professor

  • WID Faculty

My research involves the development of statistical models to answer biological questions.

Kudirat Alimi

  • Undergraduate Student

My work consists of completing a variety of administrative tasks that promote the VE Lab's projects.

Ryan Herringa

Ryan Herringa

Associate Professor

  • Discovery Fellow

Neurodevelopmental mechanisms of stress and mental illness in youth

Jon Eckhardt

Jon Eckhardt

Associate Professor

  • Discovery Fellow

Entrepreneurship, including firm formation, venture finance, and university driven entrepreneurship

Yinglun Zhu

Yinglun Zhu

  • Graduate Student

Sequential decision making and statistical learning theory

Bryce Sprecher

Bryce Sprecher

  • Research Staff

Acquire, process, interpret, and display spatial data for education, insight, and experience.

Haoran Zhu

Haoran Zhu

  • Graduate Student

Theoretical aspects of mixed-integer optimization

WID Hubs Launch at Illuminating Connections Event

WID’s new hubs—Data Science, Multi-Omics, and Illuminating Discovery—represent a new path forward for collaborative research projects and fields.

Erika Da-Inn Lee

Erika Lee

  • Graduate Student

Developing computational tools to learn the principles of genome organization

Yue Xie

Yue Xie

  • Postdoctoral Associate

Nonconvex, stochastic, distributed optimization with application in data science

New Technology for Controlling Neural Tissue Manufacturing

A paper published in eLife this week by an interdisciplinary team at WID describes new methods for reproducibly manufacturing brain and spinal cord organoids with strict control over morphogenic and developmental processes.

Rahul Parhi

Rahul Parthi

  • Graduate Student

Mathematical Data 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.

Scott Sievert

Scott Sievert

  • Graduate Student

Large scale machine learning, distributed optimization and active learning.