Michelle is a professor in the computer science department at the University of Arizona. Prof. Strout’s main research area is high performance computing and her research interests include compilers and run-time systems, scientific computing, and software engineering. She earned her Ph.D. at the University of California, San Diego in 2003, was an Enrico Fermi Postdoctoral Scholar at Argonne National Laboratory and a Research Associate at the University of Chicago for two years, and was an assistant and associate professor at Colorado State University from 2005 through 2015. In 2008, Michelle received a CAREER Award from the National Science Foundation for her research in parallelization techniques for irregular applications, such as molecular dynamics simulations. In 2010, she received a DOE Early Career award to fund her research in separating the specification of scientific computing applications from the specification of implementation details such as how to parallelize such computations. She is best known for her development of the sparse polyhedral framework, the universal occupancy vector for storage mappings, and the outset and inset for parameterized tiling.