Qi Zhang

Qi Zhang is an Associate Professor in the Department of Chemical Engineering and Materials Science at the University of Minnesota, affiliated with the College of Science and Engineering. They lead the DDO Lab, focusing on decision-making in complex process systems and serve as a Graduate Faculty Member in Industrial and Systems Engineering.

• B.S. in Mechanical Engineering, RWTH Aachen University (2011)
• M.S. in Chemical Engineering, Imperial College London (2012)
• Ph.D. in Chemical Engineering, Carnegie Mellon University (2016)

Their research spans Systems Engineering, Data Science, and Computational Optimization, with applications in sustainable energy, advanced manufacturing, supply chain engineering, human-machine systems, and bioengineering. Key methodologies include data-driven surrogate modeling, dynamic optimization, inverse optimization, and robust optimization.

The DDO Lab collaborates with professors like Daoutidis, Azarin, and Hu, addressing topics such as green ammonia production, metabolic engineering, and resilient power systems. Current group members include 12 graduate students and postdoctoral associates working on interdisciplinary projects.