Gabriel Durham is a PhD student in the Department of Statistics at the University of Michigan and a graduate student researcher with the d3center. His work focuses on statistical methods for adaptive interventions, with a particular emphasis on clustered Sequential Multiple Assignment Randomized Trials (SMARTs). He is currently collaborating with Dr. Daniel Almirall on developing longitudinal data analysis methods for primary aims in clustered SMARTs, with the goal of equipping applied researchers with more robust tools for designing multilevel adaptive interventions. Gabe is also interested in post-selection inference, interference in sequentially randomized trials, and the integration of machine learning and generative AI into causal inference workflows.