Dr Louis Aslett – Oxford
Data Science and Statistics in the Amazon Cloud with R
Cloud computing offers many opportunities for modern computationally intensive data science and statistics, be it cost efficiencies of on-demand compute power or access to state of the art HPC technology. An impediment to adoption of this is potentially substantial overhead in getting a cloud instance setup and ready to run, which seemingly must be performed by every user of the service. However, Amazon allow community development of publicly accessible machine images which enables pre-configured instances to be launched. This talk introduces the Amazon Web Services platform and describes a publicly available image designed for statistical analysis, with the RStudio interface being made accessible via a web browser and with associated software such as Stan, OpenBLAS and LaTeX among others installed and ready-to-run within minutes.
Dr Louis Aslett studied pure mathematics as an undergraduate at Trinity College Dublin, before continuing to a PhD in mathematical statistics, with a focus on MCMC methods for Phase-type models as they arise in reliability theory. He is now a research associate in the Department of Statistics at the University of Oxford and Junior Research Fellow at Corpus Christi College. He has two primary research interests: high performance computing for addressing intractable statistical models; and in exploiting recent advances in cryptography to ensure privacy preserving statistical analyses.
School of Computing Science & Digital Media, Robert Gordon University, Sir Ian Wood Building, Garthdee, Aberdeen, Conference Room N117, 13:00 – 14:00.