Gen Li

A driving force in studies related to statistical methods and their applications in biomedical research, Dr. Gen Li serves as an Associate Professor in Biostatistics at the University of Michigan's School of Public Health. With a keen focus on genomics, microbiome, and multi-omics studies, Dr. Li is dedicated to advancing the field through innovative approaches to data analysis. Dr. Li's research interests are diverse, encompassing dimension reduction, predictive modeling, network analysis, and data integration. His work is particularly impactful in the realm of functional data analysis, where he seeks to unravel the complexities of cancer and other diseases through sophisticated statistical techniques. By developing new methodologies, Dr. Li aims to enhance our understanding of biological processes and improve the accuracy of association analysis. His contributions to the field have not gone unnoticed, as evidenced by the recognition and funding he has received from prestigious institutions such as the National Institutes of Health (NIH). Dr. Li's commitment to excellence in research is matched by his dedication to education, where he mentors the next generation of biostatisticians and researchers. In addition to his academic pursuits, Dr. Li is actively involved in collaborative projects that bridge the gap between statistics and biology. His interdisciplinary approach facilitates the integration of diverse data types, ultimately leading to more comprehensive insights into complex biological systems. Through his work, Dr. Li continues to push the boundaries of biostatistics, making significant contributions to the field and its applications in public health.