New program will train next generation to use AI for improving energy security, sustainability, and human health
A photograph of Amundson Hall, the building which houses CEMS.

The University of Minnesota will receive $3 million over the next five years from the National Science Foundation Research Traineeship (NRT) program to fund a new program that will train scientists and engineers to use artificial intelligence (AI) for improving energy security, environmental sustainability, and human health. 

The goal of the program, named Data-Driven Discovery and Engineering from Atoms to Processes (3DEAP), is to bridge chemical, biological, and materials engineering with data science and systems engineering through convergent education and research activities and industry-university collaborations. The project anticipates training 150 masters and doctoral students including 25 funded trainees across disciplines.

Prodromos Daoutidis, a Distinguished Professor in the University of Minnesota Department of Chemical Engineering and Materials Science (CEMS) and Director of the Master of Science program in Data Science for CEMS, will serve as the director of the new training program.  

To learn more, please read the full article at the College of Science and Engineering's website.

This new traineeship program is being led by the following CEMS faculty members: Prodromos Daoutidis, Chris Bartel, Natalie Boehnke, and Qi Zhang. To learn more about their research, please visit their research group pages.

It is also being led by faculty members from collaborating UMN departments, including: Sapna Sarupria (Chemistry), J. Ilja Siepmann (Chemistry), Theresa M. Reineke (Chemistry), who are all CEMS graduate faculty, as well as George Karypis (Computer Science and Engineering) and  Ellad B. Tadmor (Aerospace Engineering and Mechanics).

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