Dan Quinlan is the leader of the ROSE project in the Center for Advanced Scientific Computing. His research is in numerous areas that intersect computer science and numerical analysis. Research interests include object-oriented numerical frameworks, parallel adaptive mesh refinement, parallel multigrid algorithms, semantics-based source code transformations, C++ compiler tools/infrastructure/design, cache-based optimizations, parallel array classes, parallel data distribution mechanisms, and parallel load balancing algorithms.

Dr. Quinlan earned his Ph.D. in Computational Mathematics from the University of Colorado.