Abstract: A fundamental challenge of atmospheric chemistry is bridging the gap between the detailed molecular-level knowledge generated by laboratory experiments and computationally intensive large-scale models. I will discuss our recent progress in automated model reduction, and case studies illustrating my group’s approach using process models to: (a) extract kinetic parameters necessary for modeling novel chemistry from laboratory studies (b) evaluate the potential impact of that chemistry under ambient environmental conditions (c) parameterize these processes for large-scale modeling and (d) focus and inform future laboratory studies. I will also discuss recent laboratory work related to the stratospheric heterogeneous chemistry of candidate Stratospheric Aerosol Injection materials and implications for their potential impact on stratospheric ozone.