Currently a Postdoctoral Fellow in the Industrial and Operations Engineering Department at the University of Michigan, my research focuses on predictive and optimization modeling to support renewable energy integration into the power system. Recent projects include risk characterization and predictive modeling of spatially and temporally correlated wind droughts across the United States, to inform wind farm siting, operations and incentive policy formation. Future research will use these predictive models to assess how wind power forecasting errors affect power system operations, as well as electricty and ancillary markets.

My doctoral degrees are from the Engineering and Public Policy programs at Carnegie Mellon University and the Faculty of Engineering of the University of Porto, Portugal. My primary research interest is informing renewable energy policy through mathematical modeling. I hold a Masters of Science in Environmental Engineering from Johns Hopkins University, and a Bachelor of Science degree in Chemical Engineering from Carnegie Mellon University, with an additional major in Engineering and Public Policy. For a complete list of interests, please visit my research page.