Daniel Lipscomb provides data management and advanced analysis to several projects, including Teacher Working Conditions, COVID-Equity, and the VALLSS literacy screener. His recent work has emphasized preparing large-scale datasets, such as VLDS records going back multiple years and pilot data for the state literacy screener; conducting factor analyses and mediation analyses to make sense of complex variable relationships; and automating data preparation and analysis to increase the speed and scale of work on these projects. Daniel has also previously worked on mediation analyses for MyTeachingPartner; as well as database construction, online survey development, data management, and technical support for the Inter-Brain Synchrony study with Brain Lab.