Thevaa Chandereng, PhD,'s research centers on the development and application of innovative statistical methodologies for clinical trials, with a focus on adaptive and personalized (N-of-1) trial designs. He is particularly interested in response-adaptive randomization techniques, Bayesian adaptive designs and the integration of real-world data to optimize trial efficiency and ethical balance. A significant thread of his work involves designing and analyzing individualized intervention studies to better understand treatment effects at the patient level, contributing to the advancement of precision medicine. Additionally, he develops computational tools for modeling complex time-series data, especially in biomedical contexts such as sensor-based monitoring and mobile health applications. Chandereng is deeply committed to open science and reproducibility, as reflected in his ongoing development of user-friendly statistical software tools to support methodological adoption in both academic and clinical settings.
