- Identified and corrected wind speed measurement bias that under-estimated lost generation by $80 million/year- Created wind farm wake model to improve pre-construction estimate of capacity factor by 0.5%- Created geospatial algorithm to identify contiguous land parcels to reduce manual wind-farm layout work by 10%

- Led collaboration with industry partner on DOE-funded research to develop dynamic headroom from probabilistic forecasts; hired and directed researcher- Created machine learning model of peak seasonal electricity demand to define resource adequacy seasons more robustly- Co-wrote Resource Adequacy and Need report and Markets of the Future report to publicly lay out MISO’s long-term strategy

- Analyzed groundwater data statistically to show coal ash pond was leaking contaminants- Created geospatial and regression models of lead dust deposition to assess polluter’s contribution to local soil lead concentrations

Engineering and Public Policy