Tejas Shah has more than nine years of experience with air pollution analyses. His expertise includes emission modeling, air quality modeling, emission inventory development, spatial analysis with GIS, database tool development, control-measure evaluation and economic impact analysis. Additionally, he has extensive experience using the RPOs emissions inventory, the USEPA’s national emissions inventory (NEI) and the Environment Canada national inventory. Tejas’ work at Ramboll Environ includes Sparse Matrix Operator Kernel Emissions (SMOKE) processing of regional and project emission inventories for various oil and gas EIS projects in the Intermountain West; preparing gridding surrogates and speciation profiles for the SMOKE model input; augmenting SPECIATE—a repository of speciation profiles; spatial analyses and preparing landuse/landcover files for the CAMx and MEGAN models using GIS; and developing database tools.