The Hero group focuses on building foundational theory and methodology for data science, in particular for machine learning and signal processing. Data science is the methodological underpinning for data collection, data management, data analysis, and data visualization. Lying at the intersection of mathematics, statistics, computer science, information science, and engineering, we are developing data science methods for a wide range of applications including: network science, nuclear science, public health and personalized medicine, brain and neuroscience, environmental and earth sciences, astronomy and space science, materials science, molecular biology, genomics and proteomics, computational social science, business analytics, computational finance, information forensics, and national security. Much of the theory that the Hero group is developing applies to high dimensional data collection, analysis and visualization.
The Hero Group is led by Alfred Hero, the John H. Holland Distinguished University Professor of Electrical Engineering and Computer Science and the R. Jamison and Betty Williams Professor of Engineering at the University of Michigan.