Kirk E. Jordan           

Dr. Kirk E. Jordan is an IBM Distinguished Engineer, an IBM Executive position in IBM Research Division's Data Centric Solutions in IBM T.J. Watson Research Center and is the Chief Science Officer for IBM Research United Kingdom (UK). In the UK, he established the IBM Research presence at Science and Technologies Facilities Council's (STFC) Darebury Laboratory in collaboration with the STFC Hartree Centre focusing on data centric cognitive computing.  He has vast experience in high performance and parallel computing. The Data Centric Solutions  group is addressing the challenges involved in achieving Petascale and Exascale performance on IBM's very high end system platforms, running real workflows and workloads to obtain significant results in science, engineering, business and social policy, and partnering and collaborating with key IBM clients on the most challenging applications and workloads on these large systems. Dr. Jordan oversees development of applications for IBM's advanced computing architectures, investigates and develops concepts for new areas of growth involving high performance computing (HPC), and provides leadership in high-end computing, data centric cognitive computing and simulation in such areas as computational fluid dynamics, systems biology and high-end visualization. At IBM, he held several positions promoting HPC and high performance visualization, including leading technical efforts in the Deep Computing organization within IBM's Systems and Technology Group, managing IBM's University Relations SUR (Shared University Research) Program and leading IBM's Healthcare and Life Sciences Strategic Relationships and Institutes of Innovation Programs. He is a member of the IBM Academy of Technology.

In addition to his IBM responsibilities, Jordan is able to maintain his visibility as a computational applied mathematician in the high-performance computing community. He is a Fellow of SIAM (Society for Industrial and Applied Mathematics) and of AAAS (American Association for the Advancement of Science). He is active on national and international committees on science and high-performance computing issues and has received several awards for his work on supercomputers. His main research interests lie in the efficient use of advanced architectures computers for simulation and modeling especially in the area of systems biology and physical phenomena. He has authored numerous papers on performance analysis of advanced computer architectures and investigated methods that exploit these architectures. Areas he has published include interactive visualization on parallel computers, parallel domain decomposition for reservoir/groundwater simulation, turbulent convection flows, parallel spectral methods, multigrid techniques, wave propagation, systems biology and tumor modeling.