Randal Burns

Storage and Database Systems for Science and Engineering

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Flux Freezing in Nature

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Greg Eyink lead an article by our JHUTDB (Turbulence Data) team that entitled "Flux-freezing breakdown in high-conductivity magnetohydrodynamic turbulence" that exploited a database search to show that a 70-year-old belief abouthigh-conductivity plasmas---magnetic flux freezing---fails in the presence of MHD turbulence, explaining why solar flares can erupt in minutes or hours rather than the millions of years predicted by flux freezing.  This paper is the current acme of a great collaboration among physicists, fluids, mechanical engineers, computer scienctists, and mathematicians.  All together now.


Chinese-American Kavli Frontiers of Science Symposium

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I am honored to have been invited to Chair a Big Data Session at the Chinese-American Kavli Frontiers of Science Symposium.  This will be my first event with the National Academy of Sciences.  I've gotten to know Kavli a little through the BRAIN initiative.




Cosmos to Connectomes

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JoVo, Szalay and I just published an article in Neuron that describes the evolution of data-intensive science from it roots in observational astronomy to what we're doing today.  If you are going to change your Web page once a decade, why not with this:




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The NIBIB at the NIH awarded our Open Connectome Team (R. Burns, Greg Hager, Misha Kazhdan, Joshua Vogelstein, R. Jacob Vogelstein at JHU and Jeff LIchtman at Harvard) a Collaborative Research in Computational Neuroscience (CRCNS) grant entitled " CRCNS Data Sharing: The EM Open Connectome Project."  The goal of project is to deliver an end-to-end high-throughput analysis engine for electron microscopy neuroimaging that we will use to process and host public data sets.  Notably, this make me a new principal investigator with the NIH. I'm barely reducing the average age of first time R01 PIs.  The average is an astonishing 42 years old.

INCF Keynote

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I will be giving (my first major) keynote speech at NeuroInformatics 2013 in Stockholm, Sweden in August.  I will be speaking about how to use data-intensive computing architectures to transform our understanding of neurophysiology, describing the hardware and software architecture of the Open Connectome Project.
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