UVA School of Medicine

Research Computing

Enabling scientific breakthroughs at scale with advanced computing

/tag/somrc

  • Employment

    We currently have no open positions.
  • What is Research Computing?

    UVA School of Medicine Research Computing (SOMRC) 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).
  • Citation in Publications

    Recognition and documentation of the contribution that SOMRC’s systems play in breakthrough research is essential to ensuring continued support for and availability of cutting-edge computing resources at The University of Virginia. Please cite SOMRC in any research report, journal article, or other publication that requires citation of an author’s contributions. Suggested citation format: The authors acknowledge School of Medicine Research Computing at The University of Virginia for providing computational resources and technical support that have contributed to the results reported within this publication.
  • Staff

    Byoung-Do Kim, PhD Director of Research Computing BD leads the SOM research computing program and also supports university-wide collaborations such as CADRE. He received his PhD in Aeronautics and Astronautics Engineering from Purdue University, and has been working in high-performance computing and big data field for more than 10 years at many institutions including National Center for Supercomputing Applications (NCSA) and Harvard Medical School. He always looks for opportunities where SOM-RC team can maximize the potential of computational biomed research by providing expertise in big data analysis and advanced computing.