Groups that provide computational resources and support to researchers in brain science and neuroscience face challenges as these rapidly evolving disciplines adapt to new instruments and the accompanying growth in data storage and management needs. Join the Research Computing Working Group to discuss how imaging technologies, the use of machine learning in individual labs and progress in global projects affect the computing support needed to advance discovery in these areas.
Research Computing Speaker Series: Mind, Brain and Behavior: Computing and Discovery
Rajendra Bose, Director of Research Computing, Colombia University
Wednesday, September 28, 2016
Biodesign Institute B Auditorium, Tempe campus [map]
Register to attend — space is limited!
About Rajendra Bose:
Rajendra (Raj) Bose currently leads the Research Computing team at the Mortimer B. Zuckerman Mind Brain Behavior Institute at Columbia University, which conducts cutting-edge research into every aspect of the brain — how it develops, performs, endures and recovers. His research activities include participation in the international Earth and space science informatics community while a postdoctoral research fellow at the United Kingdom Digital Curation Centre at the University of Edinburgh from 2004-07, and while a visiting scientist at the Lamont-Doherty Earth Observatory at Columbia University.
Bose also currently serves as Vice-Chair for the national Coalition for Academic Scientific Computation (CASC), a volunteer professional organization with 85 member institutions, representing the nation’s top research universities and computing centers. Directors and managers of computing at CASC institutions meet twice a year to discuss current practices and the latest approaches to supporting academic researchers with specialized staff through advanced scientific computing, high performance computing and data science.
About ASU Research Computing:
ASU Research Computing represents leading academic supercomputing capabilities — providing a high-performance computing environment, a high-end data intensive ecosystem (Big Data), a highly available 100 Gigabit Internet2 connected network internal and external via Internet2 through an ESNET Science DMZ, large-scale data storage and elastic capacity to the public cloud.
Our mission is to eliminate boundaries to research computing by providing transformative advanced computing solutions in a cost-effective manner and to support the University’s mission and goals as they apply to research, education and public service.