Heike Jagode joined the Innovative Computing Laboratory (ICL), under the leadership of Jack Dongarra, in 2008. Currently, she holds the position of Research Associate Professor at ICL, which is part of the Tickle College of Engineering at the University of Tennessee, Knoxville (UTK). Furthermore, Heike assumed the role of Lead of the ICL Performance Group in 2013. She specializes in High Performance Computing (HPC) and the efficient utilization of advanced computer architectures. Her primary focus is on developing methods and tools for performance analysis, tuning, and energy efficiency of parallel scientific applications.Heike's Ph.D. research (advisor: Jack Dongarra) focused on a multi-disciplinary effort to develop "Dataflow Programming Paradigms for Computational Chemistry Methods" to make these methods compatible with next-generation task scheduling systems like StarPU or PaRSEC. In her research, she converted the state-of-the-art NWChem Coupled Cluster methods into different dataflow versions and demonstrated the benefits of dataflow-based task execution over coarse grain parallelism in terms of scalability, resource utilization, and programmability.==========EDUCATION========== Doctor of Philosophy (Ph.D.) in Computer Science, University of Tennessee, Knoxville, USA (05/2017)Dissertation: "Dataflow Programming Paradigms for Computational Chemistry Methods", (Advisor: Prof. Dr. Jack Dongarra)Master of Science (M.Sc.) in High Performance Computing, University of Edinburgh, EPCC, Scotland, UK (08/2006)Dissertation: "Fourier Transforms for the BlueGene/L Communication Network", (Advisor: Prof. Dr. Joachim Hein)Master of Science (M.Sc.) in Applied Techno-Mathematics, University of Applied Sciences Mittweida, Germany (12/2001)Thesis: "Calculation of Heat Conduction for a Building Simulation", (Advisor: Prof. Dr. Cordula Bernert)Bachelor of Science (B.Sc.) in Applied Mathematics, University of Applied Sciences Mittweida, Germany (2001)