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Research Programming Technical Socials

In these informal events, you can learn about useful tools and techniques which will help with your research while meeting other students and staff who use computers for science.

We’re looking for volunteers to lead these events in 2016. If you’re interested please contact us through the Slack forum.

These are held monthly, usually 17.00-18.30, with a format as follows:

  • Short talk on a tool, program, environment, language or technique of general interest to programming researchers.
  • Discussion inspired by the talk, over pizza and drinks.
  • Optionally retire to an appropriate social venue.

Upcoming events:

Technical socials will resume in Autumn 2017.

Previous talks:

Date Speaker
Title
 
September 2015
Dr Ulf Schiller Numerical Approximation, Friend or Foe? Slides
October 2015 Dr Ian Sillitoe Scalable Web Engineering at UCL Slides
November 2015 Dr Marzia Rivi Parallel programming: a brief discussion Slides
December 2015
Dr Dan Buchan Write Less Code Slides
January 2016
Dr Derek Groen FabSim: facilitating computational research through automation on large-scale and distributed e-infrastructures. Slides
February 2016
Dr Jeremy Appleyard Profiling GPU code Slides
March 2016
Ms Raquel Alegre Making sense of geospatial data with CartoDB maps Slides
April 2016
Dr Tom Doel Data sharing with GIFT-Cloud Slides
May 2016
Prof Tony Hey The Fourth Paradigm: Data-Intensive Science Slides
June 2016
James Geddes
Cellular: A proposal for less awful models
Slides
July 2016
Dr Thomas Kluyver Experiences from the Jupyter development team -
October 2016
Dr Gabriele Pierantoni
Information Flows: a possible direction for the future of scientific computational infrastructures Slides
November 2016
Dr Kris De Meyer
Monte-Carlo with Julia in the Cloud Slides
December 2016
Dr Jonathan Cooper
Cardiac Electrophysiology Web Lab Slides
January 2017
Dr Vince Knight
Property based testing in a research setting -
March 2017
Dr Daniel Hanlon
iRODS
Slides
April 2017
Dr Daniel Buchan
Deploying your data analysis pipelines as services for others
 
May 2017
Dr Wadud Miah Modern Fortran for Computational Science Slides
July 2017
Dr Jeremy Metz
Image processing in the biological sciences: classical vs machine learning approaches