Our research in the area of process systems engineering lies at the intersection of chemical engineering and operations research, focusing on computational discovery and decision making in complex process systems. We develop mathematical models and algorithms capable of considering intricate decision processes, incorporating uncertainty and active learning, capturing interactions between multiple agents, and solving large-scale real-world optimization problems.
Our work is highly quantitative and interdisciplinary. We apply our tools to solve a wide range of problems in the design and operation of sustainable energy and process systems, advanced manufacturing, supply chain optimization, data analytics, and systems biology.