My research philosophy is characterized by collaboration, rigor, and impact. I believe in engaging with faculty members and researchers across the globe for effective data management, knowledge sharing, and the development of research that continues to be innovative at both theoretical and applied levels. My research interests include biostatistics, mixed and over-dispersed models, mathematical statistics, applied statistics, and machine learning. My ultimate goal is to continue building upon the existing body of knowledge or replicating it innovatively through interdisciplinary research that aims to solve problems in society and improve the lives of all individuals within it.