Lead by M. Soheil Hemmati, OPAHL envisions active engagement in interdisciplinary research at the intersection of mathematical optimization modeling and data analytics with focus on health applications. Through integration of mathematical optimization and simulation techniques, the lab designs decision-support tools aimed at improving patient outcomes and operational efficiency. In parallel, the lab evaluates the broader impact of healthcare interventions and policy reforms with the aim of generating evidence to guide equitable and cost-effective decision-making across health systems.
Lead by M. Soheil Hemmati, OPAHL envisions active engagement in interdisciplinary research at the intersection of mathematical optimization modeling and data analytics with focus on health applications. Through integration of mathematical optimization and simulation techniques, the lab designs decision-support tools aimed at improving patient outcomes and operational efficiency. In parallel, the lab evaluates the broader impact of healthcare interventions and policy reforms with the aim of generating evidence to guide equitable and cost-effective decision-making across health systems.
