David Todem

David Todem enhances global conversations on statistical methodologies as a Professor of Biostatistics in the Department of Epidemiology & Biostatistics at Michigan State University. He also serves as an Adjunct Associate Professor in the Department of Statistics & Probability. His academic journey is marked by a profound dedication to advancing statistical methods, particularly in the context of population-based studies on Alzheimer's disease, cancer, and dental caries. Dr. Todem's research is characterized by a keen focus on developing and refining statistical techniques to address complex challenges in biostatistics. His work on missing data, mixture models, and weakly identifiable models has contributed significantly to the field, providing innovative solutions to longstanding problems. These contributions have not only advanced theoretical understanding but have also had practical implications for the analysis of real-world data. His research endeavors are supported by grants from the National Institutes of Health (NIH), underscoring the impact and relevance of his work. Through these collaborations, Dr. Todem has been able to apply his expertise to a range of health-related issues, enhancing the understanding of disease patterns and contributing to the development of effective interventions. In addition to his research, Dr. Todem is committed to education and mentorship, guiding the next generation of statisticians and biostatisticians. His teaching philosophy emphasizes the importance of critical thinking and the application of statistical principles to solve practical problems. By fostering a collaborative learning environment, he inspires students to engage deeply with the material and pursue their own research interests. Dr. Todem's contributions to the field of biostatistics are widely recognized, and he continues to be an influential figure in both academic and professional circles. His work not only advances scientific knowledge but also has a tangible impact on public health, demonstrating the vital role of statistics in understanding and addressing complex health issues.