Professor Paulson's research focuses on improving the quality, efficiency, and sustainability of engineered products and processes through the development of advanced decision-making strategies in the presence of uncertainty. His work specializes in formulating these strategies in terms of stochastic mathematical optimization problems that can be applied to a broad range of applications, with a particular emphasis on chemical and biological systems, as well as developing algorithms that can efficiently solve these problems.
