At the Grainger Institute for Engineering, we collaborate across disciplines and partner with industries to solve critical technological challenges.

With a commitment from The Grainger Foundation and our ability to build on existing strengths within the College of Engineering and at UW-Madison, we are accelerating discovery, acting as an incubator for transdisciplinary research, and driving technological advances that enhance the success of U.S. industries and boost national economic growth in several areas.

We aim to make an impact in our region, our nation, and across the globe by developing self-sustaining centers that address real societal challenges, building large-scale transdisciplinary funding proposals, and fostering new models for industrial interactions and collaborations.

Engineering and the Health Highway

Our commitment to biomanufacturing research is advancing the availability and efficacy of applications that impact human health: from therapeutic medical and lab devices to drugs, vaccines, and regenerative cells and tissues.

We are facilitating collaborations between engineers and clinical researchers to develop and safely implement technologies that enhance healthcare delivery, and ultimately improve patient care and population health.

Combining interdisciplinary experimental research and cutting-edge technologies, we are exploring the complexity of the brain, designing solutions to neurological problems and finding new way for neural tissue and technologies to interface.

Resources and Production Engineering

Driving technological advances that enable the manufacturing of emerging materials, we are helping make impossible innovations in manufacturing design possible.

Across a broad range of disciplines, researchers are coming together to solve critical energy and sustainability challenges with cutting-edge discoveries and technology development.

We are developing the understanding and tools needed to increase the capacity of complex infrastructures, communities and their related systems to mitigate and adapt to threats.

Data, Decisions and Control

Researchers in computational science are focused on streamlining machine learning in ways that enable computers to learn complex concepts efficiently and accurately, but on a larger scale and at a faster rate than humans are capable of.

From health monitoring and smart homes to smart cities and power grids, the uses for sensing technologies are endless. Our research is aimed at advancing the operation, measurement capabilities and implementation of sensors.