She specializes in high-performance computing and the efficient use of advanced computer architectures; focusing primarily on developing methods and tools for performance analysis and tuning of parallel scientific applications. Her research interests include the multi-disciplinary effort to convert computational chemistry algorithms into a dataflow-based form to make them compatible with next-generation task-scheduling systems, such as PaRSEC. She received a Ph.D. in Computer Science from the University of Tennessee Knoxville. Previously, she received an M.S. in High-Performance Computing from The University of Edinburgh, Scotland, UK; an M.S. in Applied Techno-Mathematics and a B.S. in Applied Mathematics from the University of Applied Sciences Mittweida, Germany.