Dr. Erika S. Helgeson's lab focuses on understanding how Type 1 diabetes affects brain function in young children, particularly in areas such as attention and memory. The lab aims to identify factors that influence neurodevelopment and to develop strategies to prevent complications. By conducting large, coordinated studies, the team strives to enhance the quality of research related to diabetes and neurocognition.

Dr. Wei Pan's research lab at the University of Minnesota focuses on using advanced statistical methods, particularly machine learning, to understand the genetic factors behind Alzheimer's disease. By analyzing large datasets from genomic studies and integrating various types of biological data, the lab aims to identify genes and proteins that could play a role in the disease. Their work not only seeks to uncover causal relationships in Alzheimer's but also develops tools that other researchers can use in their studies.

Dr. Joseph S. Koopmeiners leads a research lab focused on developing advanced statistical methods to evaluate the public health impact of tobacco product standards, particularly through innovative data integration strategies. The lab combines rigorous statistical analysis with practical implications for tobacco regulation, aiming to inform the FDA’s decisions on product standards based on comprehensive data. Students in his lab will engage with contemporary public health challenges and contribute to significant regulatory science improvements.