Institutes, Centers, and Programs

Data Science Institute

The Data Science Institute (DSI), powered by American Family Insurance, performs cutting-edge research in the fundamentals of data science, and catalyzes the translation of this research into practice to advance scientific discovery.

Data Science Hub

The Data Science Hub in the Wisconsin Institute for Discovery collaborates closely with DSI to provide training and implement data science practices into research across campus.

School of Computer, Data & Information Sciences

CDIS aims to be a preeminent center for discovery, learning and engagement related to computing, data and information. It brings together the top-ranked departments of Computer Sciences, Statistics, and the Information School.

Biostatistics and Medical Informatics

BMI advances data science for medicine and public health through collaboration with biomedical scientists.

Institute for Foundations of Data Science

Building on previous work, and pursuing new goals sparked at the interfaces of mathematics, statistics, and theoretical computer science, IFDS aims to produce excellent research and collaborative approaches to investigating data science.

Machine Learning for Medical Imaging

The purpose of the ML4MI initiative is to foster interdisciplinary collaboration between machine learning experts and medical imaging researchers at the University of Wisconsin, in order to solve challenging problems in medical imaging.

Machine Learning and Optimization Research Consortium

MOR’s research group is committed to working with industry partners to solve machine learning and optimization challenges in data analytics, healthcare systems, manufacturing, transportation, planning, logistics, and other commercial applications.


MADLab is a University Center of Excellence developing the next generation of machine learning theory, algorithms, and applications.

Wisconsin Institute for Discovery

WID’s expertise in data science spans several disciplines, with the goal of developing end-to-end strategies for data collection, analysis, management, privacy, security, and decision-making. WID houses the Data Science Hub.