• Mission

    Research Computing empowers UVA researchers to achieve more with cutting-edge computational resources. Our support team strives to create innovative solutions for researchers who need help solving complex optimization, parallelization, workflow, and data analysis issues. We build and maintain the University’s best computing platforms while educating the next generation of researchers on the power of advanced computing.
  • Staff

    Rick Downs Director of Research Computing hpc parallel-computing rivanna storage Andrew Bell, PhD Communications and Business Operations hpc parallel-computing rivanna storage Ravi Kiran R. Chamakuri, PMP Full Stack Developer hpc parallel-computing rivanna storage Michele Co, PhD HPC Systems Specialist hpc parallel-computing rivanna storage Christina Gancayco Research Computing Associate data-science image-processing matlab omero python Katherine Holcomb, PhD Computational Research Consultant hpc parallel-computing rivanna storage Ed Hall, PhD Computational Research Consultant hpc parallel-computing rivanna storage Jacalyn Huband, PhD Computational Research Consultant hpc parallel-computing rivanna storage Byoung-Do Kim, PhD Special Projects data hpc infiniband parallel-computing storage Neal Magee, PhD HPC/Cloud Solution Architect cloud containers databases globus infrastructure python Adam Munro HPC Systems Specialist
  • Research Computing Staff

  • What is Research Computing?

    UVA Research Computing (RC) is a new program that aims to support computational biomedical research by providing advanced cyberinfrastructure and expertise in data analysis at scale. Our mission is to foster a culture of computational thinking and promote interdisciplinary collaboration in various data-driven research domains. We offer services related to high performance computing, cloud architecture, scientific programming and big data solutions. We also aim to promote computationally intensive research at UVA through collaborative efforts such as UVA’s own CADRE (Computation And Data Resource Exchange) and XSEDE (Extreme Science and Engineering Discovery Environment). One of our driving philosophies is that researchers already have medical and scientific expertise, and should not have to become computing experts on top of that.