We are a group of researchers interested in various aspects of decision-making in complex process systems. We develop computational methods for the efficient and interpretable solution of real-world optimization problems as well as the data-driven discovery of unknown decision processes. Major areas of application include enterprise-wide optimization, sustainable energy and process systems, cellular bioprocess engineering, and human-AI collaboration. Learn more about our research here.