Anders Stockmarr

Anders Stockmarr is an Associate Professor at the Department of Applied Mathematics and Computer Science, Technical University of Denmark (DTU), specializing in Statistics and Data Analysis. His research focuses on applying advanced computational methods to solve complex problems in public health, environmental science, and epidemiology. Key areas include chronic disease progression modeling, multimorbidity analysis, and machine learning applications in seagrass monitoring and healthcare systems optimization. He has supervised numerous PhD students and led projects addressing topics such as patient-centered care models for multimorbid patients and low-carbon dietary optimization.

Stockmarr’s academic contributions span over 150 publications, with recent work emphasizing register-based studies on disease trajectories and sustainable food systems. He collaborates extensively with institutions on interdisciplinary projects, including seagrass coverage estimation using machine learning and nationwide analyses of chronic heart disease dynamics. His activities include peer reviewing, academic supervision, and public engagement through media contributions on topics like traffic accident risk and human longevity records.

Notable research highlights include developing the amVAE model for age-aware multimorbidity clustering and pioneering seagrass detection techniques from underwater videos. His work bridges statistical methodology with real-world applications, addressing global challenges such as climate change mitigation and healthcare system efficiency.