Babette Brumback

Professor Babette Brumback is a distinguished academic contributing to global discussions on statistical methodologies and their applications in public health and medicine. As a Professor and Associate Chair of the Department of Biostatistics at the University of Florida, she plays a pivotal role in advancing the field of biostatistics through her innovative research and leadership. Her work primarily revolves around longitudinal data analysis, causal modeling, and bias adjustment, with a keen focus on the analysis of data from complex sampling designs. Dr. Brumback's research is characterized by its interdisciplinary approach, bridging the gap between statistical theory and practical applications in health sciences. Her expertise in causal modeling and sampling designs has made significant impacts on numerous public health and medical studies, providing valuable insights and improving the accuracy of research findings. Her collaborative efforts have not only enhanced the quality of these studies but also contributed to the development of new statistical methodologies. After earning her PhD in Statistics from the University of California, Berkeley in 1996, Dr. Brumback has been recognized for her contributions to the field. She is an elected member of Delta Omega, an honor society for public health, which acknowledges her commitment to excellence in the field. Additionally, she is a Fellow of the American Statistical Association, a testament to her significant contributions and leadership in statistical science. Throughout her career, Professor Brumback has been dedicated to mentoring the next generation of statisticians and biostatisticians, fostering an environment of learning and innovation. Her commitment to education and research excellence has made her a respected figure in the academic community, inspiring both her colleagues and students alike. In addition to her academic pursuits, Dr. Brumback is actively involved in various professional organizations, contributing to the advancement of statistical science on a broader scale. Her work continues to influence the field, driving forward the understanding and application of statistical methods in complex real-world scenarios.