Dr. Daniel Gingerich’s research aims to inform decision making about water and energy infrastructure systems in a time of transition. His approach starts by taking large, often publicly available datasets, and using them as inputs into engineering models of system performance, environmental impact, or cost. He then interprets the results of these engineering models using tools from policy analysis, environmental economics, and decision science to highlight pathways to more sustainable and resilient infrastructure systems. He graduated with Bachelor’s degrees in Civil Engineering and Political Science from Mississippi State University, an M.S. degree in Civil Engineering from Auburn University, and a PhD in Engineering and Public Policy from Carnegie Mellon University. His doctoral work developed methods that integrated life-cycle assessment and benefit-cost analysis in order to quantify risk trade-offs associated with water treatment and ways to avoid these trade-offs by evaluating alternative technologies. After his PhD, he worked as an Oak Ridge Institute for Science Education Post-Doctoral Research Associate for the National Energy Technology Laboratory and as a visiting Post-Doctoral Fellow at Carnegie Mellon University and Stanford University. His post-doctoral research sought to develop models to predict the concentrations of trace metals in flue gas desulfurization wastewater to inform regulatory compliance decision-making at coal-fired power plants. In his free time, Daniel enjoys baking, building his vinyl collection, and practicing yoga.