Who am I? – Curtin Institute for Computation – “at CBS we don't do supercomputing”

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Who am I? – Curtin Institute for Computation – “at CBS we don't do supercomputing”

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slides-20160406-cbs-faculty

Slides for presentation for CBS Dean's Research Seminar

On Github CurtinIC / slides-20160406-cbs-faculty

Curtin Institute for Computation

Andrea Bedini, @andreabedini

Who am I?

  • PhD in Physics @ Università di Milano in 2010
  • Postdoc @ UniMelb 2010–2015
  • Lots of numerical research work
  • Self-taught developer / Open Source contributor
  • Joined Curtin University this year
  • Statistical physics

    Emerging behaviour • Phase transitions • Universality classes

  • Traffic flow modelling

    Collaboration with VicRoads • Agent based • Multimodal • Realistic signalling

  • Bioinformatics (a little bit)

    Statistical analysis of DNA flexibilty • Indentification of fragile sites

Curtin Institute for Computation

  • Started last year
  • Truly interdisciplinary
    • Humanities
    • Health
    • Science & Engineering
    • Business School
  • Gathers ~70 researchers (~10 from CBS)
  • Foster collaboration to solve complex problems using
    • computational modelling
    • data analysis
    • data visualisation
    • machine learning
  • Help to access and utilise existing facilitiese.g. Pawsey, HIVE, Nectar Research Cloud
  • Provide basic computing and data skills training
  • IT is changing how people do research
  • Researchers today:
    • run large computations
    • collect/manage data (in larger quantites)
    • visualise complex data
    • collaborate (faster, larger groups)
    • write software (without any training)
We work with you to solve research specific IT challenges Enabling you to use the latest scientific instruments

Team of computational specialists hired to help researchers

  • Rebecca Lange (Humanitiles)
  • Kevin Chai (Health)
  • Shiv Meka (Sci&Eng)
  • Andrea Bedini (Business School) me!

“at CBS we don't do supercomputing”

  • Collect data (1Mb? 1Tb? 1Pb?)
  • Analyse data
  • Explore data
  • Share your explorations with colleagues
  • Share your finding with the greater community
Excel will not give you an edge nor does GAUSS We can help you at each of these steps How do we help you
  • Large set of tools for data science
  • Open-source, community developed and supported
  • Can do anything expensive software do
  • We bring that community to you
PyData London 2016 hosted by Bloomberg
How do we help you

Training

Many students start PhDs at Curtin without even the most basic of computing and data skills And it's not their fault ...
Unix Shell • Version Control with Git • Using Databases and SQL • Programming with Python • Programming with R • R for Reproducible Scientific Analysis • Automation and Make Data Cleaning • Data Analysis and Visualization in Python/R • Data wrangling and processing • Geospatial Data • Social sciences text mining
More

Hacky Hour

  • Every Wednesday 3pm at Common Ground
  • Follow us on Twitter: @CUHackyHour

Research morning tea

  • What are your data problems?
  • What is your workflow?
  • Come and talk to me about your research

Find the slides at http://curtinic.github.io/slides-20160406-cbs-faculty/

Curtin Institute for Computation Andrea Bedini, @andreabedini