Michael Benjamin Sklar

Michael Benjamin Sklar is a Stein Fellow in the Statistics Department, having completed his PhD in 2021. His doctoral research, supervised by Professor Lai with committee members Lavori, Lu, and Palacios, focused on contextual multi-armed bandits, dynamic treatment strategies, and error rate guarantees in adaptive clinical trials.

Education:

• PhD in Statistics (2021)

Dr. Sklar's research spans theoretical and applied statistics, with core expertise in machine learning algorithms for adaptive decision-making and biostatistical methodologies. His work on contextual multi-armed bandits advances reinforcement learning frameworks, while his contributions to dynamic treatment strategies and adaptive clinical trial design address critical challenges in personalized medicine and confirmatory trial reliability. This interdisciplinary research bridges statistical theory with real-world healthcare applications, emphasizing methodological rigor in high-stakes medical decision environments.