Stanley Lee

Stanley Lee is a research economist at RTI where he provides analytical support to clients. Dr. Lee is an expert at conducting geo-spatial analysis, developing sectoral optimization models, expanding Marginal Abatement Cost Curve (MACC) models with risk analysis, and preparing reports and manuscripts.

Currently, he leads the development of the MACC modeling for the Electric Power Research Institute (EPRI) project, including re-organizing and updating the model to simulate the CH4 emission from livestock, landfill, wastewater, industrial wastewater, and food waste sectors. He collaborates with the group, providing support managing data and generating post processing scripts while working closely with EPRI clients on manuscripts. Dr. Lee works to expand the MACC model to conduct sensitivity analysis and estimate the GHG emission under different socio-economic growth scenarios.

Additionally, Dr. Lee provides analytic support to clients, including applying the Forest and Agricultural Sector Optimization Model (FASOM), and the spatial disaggregation model, EcoShift. These models estimate the social economic impacts of biofuel production policies for the EPA Office of Transportation and Air Quality (OTAQ), and Office Research and Development (ORD). Dr. Lee worked with a team to develop the Ecoshift model to downscale regional model results, process the geospatial explanatory variable data in the machine learning model, and prepare the manuscript to apply Ecoshift on a biofuel case study. He also helps the Climate Change Division (CCD) conduct analysis with multiple mitigation options and compares the results with existing references.