Xin Zhou

Professor with a passion for advancing studies in biostatistics and data science, Xin Zhou is an esteemed assistant professor at Yale School of Public Health. With a robust academic background, he earned his Ph.D. in Biostatistics from the University of North Carolina at Chapel Hill in 2015. Following his doctoral studies, he further honed his expertise as a Postdoctoral Fellow in the Departments of Biostatistics and Epidemiology at the Harvard T.H. Chan School of Public Health. At Yale, Professor Zhou is dedicated to exploring the frontiers of statistical and machine learning methods, particularly in the realms of precision medicine and high-dimensional data analysis. His work is pivotal in developing innovative approaches to measurement error correction and enhancing the design and analysis of cluster randomized trials. His research is characterized by its interdisciplinary nature, bridging gaps between statistical theory and practical applications in health sciences. Professor Zhou's contributions to the field are not only academic but also practical, as he seeks to implement statistical methodologies that can significantly impact public health outcomes. His commitment to advancing precision medicine is evident in his efforts to tailor medical treatments to individual characteristics, thereby improving patient care and treatment efficacy. In addition to his research, Professor Zhou is actively involved in mentoring the next generation of biostatisticians and data scientists. His teaching philosophy emphasizes the importance of critical thinking and the application of statistical methods to real-world problems, preparing his students to tackle complex challenges in the ever-evolving field of public health.