Chang-Xing Ma

Chang-Xing Ma advocates for research-driven practices in the field of biostatistics, serving as an associate professor and Co-Director of the MPH Biostatistics Concentration at the University at Buffalo School of Public Health and Health Professions. His academic journey is marked by a profound dedication to teaching and mentoring both master and PhD students, fostering a new generation of scholars in the realms of statistical genetics, experimental design, small sample inference, and paired binary data inference. With a career spanning over a decade, Chang-Xing Ma has been a pivotal figure in the application of statistical methodologies to medical research projects. His collaborative approach has not only enriched his own research but has also significantly contributed to the advancement of medical sciences. His work is characterized by a meticulous attention to detail and a commitment to enhancing the robustness of statistical analyses in medical studies. Chang-Xing Ma's role extends beyond research; he is deeply committed to academic advising and program reviews, ensuring the success and growth of MPH students. His dedication to these roles reflects his unwavering commitment to both teaching and research, making him a cornerstone of the academic community at the University at Buffalo. In addition to his teaching and research responsibilities, Chang-Xing Ma is actively involved in the development and refinement of biostatistical curricula, aiming to equip students with the skills necessary to tackle complex data-driven challenges in public health. His efforts in curriculum development are driven by a desire to bridge the gap between theoretical knowledge and practical application, preparing students for successful careers in biostatistics. Chang-Xing Ma's research interests are diverse, yet interconnected, with a particular emphasis on experimental design and statistical genetics. His work in small sample inference and paired binary data inference has provided valuable insights into the complexities of data analysis, contributing to the broader field of biostatistics. Through his leadership and expertise, Chang-Xing Ma continues to inspire and guide students and colleagues alike, fostering an environment of intellectual curiosity and academic excellence. His contributions to the field of biostatistics are not only recognized within the university but also resonate throughout the broader scientific community.