Dr. Stanford is a Postdoctoral Research Scientist in CCSR. He received his M.S. (2016) and Ph.D. (2020) in Atmospheric Sciences from the University of Utah under the direction of Dr. Adam Varble. Dr. Stanford’s M.S. and Ph.D. work focused heavily at the intersection of observations and numerical modeling, using high-quality in situ and remote sensing platforms to guide the development and improvement of parameterizations within convection-permitting models. His work has primarily focused on evaluating and improving the representation of deep moist convective processes in kilometer-scale simulations with an emphasis on ice microphysics and convective dynamics. More broadly, Dr. Stanford’s research interests involve using observations to identify and improve cloud process representation in numerical models across a range of spatiotemporal scales spanning those relevant to individual ice crystals up to the climate system. While at CCSR, Dr. Stanford is expanding his research area to encompass shallow cloud systems with an ultimate goal of improving cloud-climate feedbacks in the GISS climate model.