Lars Fritsche

Lars G. Fritsche is an Associate Research Scientist in the Department of Biostatistics at the University of Michigan School of Public Health. His work bridges human genetics, big data analytics, and public health, with a focus on understanding the interplay between genetic and non-genetic risk factors for complex diseases.

• Education: PhD (University of Regensburg, 2009), MS (University of Regensburg, 2004)

His research spans polygenic risk scores (PRS), electronic health record (EHR) integration, pharmacogenetics, and longitudinal disease modeling. Projects include developing the PRSweb and ExPRSweb repositories for genetic and exposure risk scores, with applications in cancer, age-related macular degeneration (AMD), and cardiometabolic conditions.

Recent publications highlight his expertise in cross-ancestry genetic studies, selection bias correction, and AI-driven analysis of retinal imaging data. Collaborations include the Michigan Genomics Initiative and UK Biobank, emphasizing scalable tools for disease prediction and prevention.