The Scientific Computing Core (SCC) is the technical backbone of the Flatiron Institute. It develops, deploys and maintains computational infrastructure — from supercomputers to desktop PCs — dedicated solely to the use of Flatiron researchers. The SCC also creates and disseminates software tools for the wider computational science community, with the goal of ensuring that technology is not the limiting factor of scientific progress.
Powering the work of the Flatiron Institute is an on-site high-performance computer cluster comprising 7,000 cores maintained by the SCC, with plans to double the number of cores in the near future. Two off-site supercomputers at Brookhaven National Laboratory and the San Diego Supercomputer Center at the University of California, San Diego, provide Flatiron researchers with additional computational muscle.
Scientific Computing Core: Team
Nick Carriero, Ph.D.Co-Director, SCC
Nick Carriero came to the Simons Foundation in 2014 from Yale University, where he was a senior research scientist in computer science and co-director of the W.M. Keck Biotechnology Resource Laboratory’s high-performance computing resource.Read More
Ian Fisk, Ph.D.Co-Director, SCC
Ian Fisk came to the Simons Foundation in 2014 after working in the computing division at the Fermi National Accelerator Laboratory in Illinois since 2003. Fisk was the Compact Muon Solenoid (CMS) experiment’s computing coordinator at CERN from 2010 to…Read More
Andras Pataki, Ph.D.Senior Data Scientist
Andras Pataki joined the Scientific Computing Core in 2015 to work on research and software development in scientific computing, data visualization and other data-intensive computing projects.Read More
Nikos TrikoupisSystems Architect
Nikos Trikoupis joined the Simons Foundation in 2016 to work in the design, planning, acquisition and operations of the scientific computing infrastructure for the Flatiron Institute.Read More
Aaron Watters, Ph.D.Senior Software Engineer
Aaron Watters joined the Scientific Computing Core in 2015 to develop tools that will help biologists examine, manage and process data generated by gene expression and regulatory networks experiments.Read More
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