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.

WID Researchers Showcase “Virtual Diary Farm Brain” at American Dairy Science Association Meeting

By combining information from many farms, predictive models and analytic tools can be developed to help producers and consultants navigate, visualize. and analyze the data they are getting from an increasing number of sources to support better management decisions.

Alexander Taylor

  • Undergraduate Student

High-throughput Prediction of Drug Prescriptions

Sarah Stevens

Sarah Stevens

Data Science Hub Facilitator

  • Research Staff

Facilitating connections and training researchers in data science.

Brian Yandell

Brian Yandell

Professor

  • Discovery Fellow

Co-lead of Data Science Hub (datascience.wisc.edu). Research on systems genetics.

Katherine Ceballos

Katherine Ceballos

  • Undergraduate Student

Design and implement new and existing files, websites, and programs.

Gabriel Gonzalez Sutil

Gabriel Gonzalez Sutil

  • Graduate Student

Mathematical programming applications in climate change and environmental economics

Wei Zhang

Wei Zhang

Graduate Student, Page Group

  • Graduate Student

Application of deep learning to address various important problems in healthcare domain.

Mruganka Kashyap

Mruganka Kashyap

  • Graduate Student

Working in the cross-section of Optimization (in Controls setting) and Machine Learning

Harrison Rosenberg

Harrison Rosenberg

  • Graduate Student

Machine Learning, Signal Processing, Graph Theory, and Engineering Education

Weipeng Zhou

Weipeng Zhou

  • Undergraduate Student

Focus on the development and application of statistical tools for high-dimensional "omics" data

Sailendharan Sudakaran

Sailendharan Sudakaran

Madison Microbiome Hub Manager / Multi Omics Hub Coordinat

  • Research Staff

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