Recipient of NSF Career Award; DOE Early Career Principal Investigator; Kavli Fellow; Member of the Defense Science Study Group class of 2012-2013; Contributed to response to the Federal Cybersecurity RFI; Gave a talk on Emergent Sparsity in AI at the Systems and Applications Challenges for the Emerging Bazaar of Accelerators Workshop on August 9, 2023.
Research Experience
Prior to joining Johns Hopkins, he was a research staff member at IBM’s Almaden Research Center where he won an Outstanding Innovation Award; Currently, Professor and Head of the Department of Computer Science at Johns Hopkins University's Whiting School of Engineering; Visiting professor at INPE in Brazil teaching Parallel Programming for Data Science; Co-founder of NeuroData with Joshua Vogelstein; Core member of JH Turbulence Database Group.
Education
PhD in Computer Science from University of California Santa Cruz (2000); BS in Geophysics from Stanford (1993)
Background
Research Interests: Scalable Data Systems and Scientific Data Plumbing; Professional Field: Computer Science; Brief Introduction: His work in data science has pushed the scalability limits of data science based on emergent storage technologies, ranging from engineering file systems for storage area networks in the 1990s, building scientific web services on scale-out cloud storage in the 2000s, to developing graph and sparse-matrix engines for machine learning more recently.
Miscellany
Contact Information: Email - randal(at)jhu.edu; Office - 163 Malone Hall; Mailing Address - 160 Malone Hall, 3400 N. Charles St, Baltimore, MD 21218; Administrative Coordinator - Toni DeTallo (tdetal1(at)jhu.edu)