Gabriel Durham is a PhD candidate 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 sequentially randomized trials with complex clustering structures. He is currently collaborating with Dr. Daniel Almirall on multilevel designs and analyses for SMARTs and with Dr. Walter Dempsey on sequential randomization in group formation. Gabriel is also interested in causal bandits for sequential decision-making and statistical methods for AI systems.