Edward Cripps

Dr, Director Complex Data Modelling Research Cluster, BEc W.Aust., BSc PhD NSW

  • The University of Western Australia (M019), 35 Stirling Highway,

    6009 Perth

    Australia

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Personal profile

Research

I am a statistician with research interests in Bayesian longitudinal analysis, spatio-temporal models and the integration of physical and probabilistic models. My primary applications are environmental, meteorological and oceanographic processes and their influence on engineering decision making  and  resource management. Australian natural resource industries and environmental bodies are experiencing an unparalleled growth in the quantity of available data. Together with the increasing availability of computer based modelling and simulation, the so called Data Sciences and its mathematical underpinnings are firmly entrenched in scientific inference and industrial decision making. My research examines model/data missmatch and its impact on inference and decisions, using high quality, rather than high quantity, data to integrate our mathematical abstractions of the world with probabilistic approaches to uncertainty quantification.

Funding is available through joint government/industry grants for potential PhD candidates and post-doctoral researchers -- see funding overview below.  Those interested in the above approach to data science are encouraged to contact me about such opportunities.

Industrial relevance

The increasing need for (a) rigorous data science applications and (b) the development of statistical methodology to address more complex problems  has resulted in my collaboration and/or consultation with many industrial and governmental bodies.   Most recently, these have included INPEX, Shell Australia, Woodside Engergy, Bureau Veritas - France, Lloyd's Register Global Technology Centre, Fugro Australia Marine, Wood Group Kenny Australia, Geosciences Australia, Newcrest Mining, McKinsey & Company, IAG Insurance, ALCOA of Australia, BHP Billton, Roy Hill Holding, CORE Innovation Hub, NSW Natural Resources Commission, NSW Office of Environment and Heritage, Western Australia Biodiversity Science Institute, Bureau of Meteorology, Water NSW, Alan Turing Institute (UK).

Funding overview

* 2021--2025 ARC Industrial Transformation Research Hub for Transforming Energy Infrastructure Through Digital Engineering.  University of Western Australia.  Approx. $10 million. Personal Role: Chief Investigator and UWA Data Science Leader.

* 2020--2024 ARC Industrial Transformation Training Center for Data Analytics for Resources and Environment. University of Sydney.  Approx. $8 million. Personal Role: Chief Investigator and UWA Node Leader.


* 2019--2023 ARC Inudstrial Transformation Training Centre  for Transforming Maintenance Through Data Science. Curtin University of Technology. Approx $8 million. Personal Role: Chief Investigator.

*2016--2020 ARC Industrial Transformation Research Hub for Offshore Floating Facilities.  University of Western Australia.  Approx $10 million. Personal Role: Chief Investigator and Data Science Leader.

 

Teaching overview

I currently teach

  • STAT3061 Random Processes and their Applications.  A First Semester Maths and Stats 3rd year unit that discusses randomly evolving dynamical systems which exhibit dependencies over time. The core material focuses on the simplest and most important class of such processes, namely, Markov-dependent processes which occupy discrete states and evolve in discrete or continuous time 
  • STAT4063 Computationally Intensive Methods for Statistics.  A Second Semester Maths and Stats honours (fourth year) unit that teaches the mathematical underpinnings and implementation of common numeric proceedures required to estimate statistical models.

Current projects

Other projects I am currently involved  include 

Lau, J. and Cripps, E. (2021) ``Thinned Completely Random Measures with Applications in Competing Risks Models'',   Bernoulli.  Available at Bernoulli's Forthcoming papers website. 

Bertolacci, M., Rosen, O.,  Cripps, E., Cripps, S.  "AdaptSPEC-X: Covariate Dependent Spectral Modeling of Multiple Nonstationary Time Series"  Forthcoming: Journal of Computational and Graphical Statistics. Earlier version available at https://arxiv.org/abs/1908.06622

Jorgensen, J., Hodkiewicz, M., Cripps, E. and Hassan, G.M. (2021) Predicting Bolt Stress Under Uncertainty in Offshore Wind Turbine Structural Connections Using a Gaussian Process Surrogate Mode.  To appear in The 31st International Ocean and Polar Engineering Conference, June 2021.

Bertolacci, M., Cripps, E., Rosen, O. and Cripps, S.  "A comparison of methods for modeling marginal non-zero daily rainfall across the Australian Continent." Available at https://arxiv.org/abs/1804.08807

Rayson, M. D., Cripps, E., Jones, N.L., and Ivey, G.N. "Prediction and uncertainty quantification of nonlinear internal wave amplitude in shelf seas".  In progress

Anderson-Loake, M., Astfalck, A. and Cripps, E. "Bayesian Modelling and Forecasting of Sea Surface Wind Measurements on Australia's North West Shelf"  In progress

Research expertise keywords

  • Computational statistics
  • Bayesian statistics
  • Applied statistics
  • Mixture modelling
  • Spatial/temporal modelling

Industry keywords

  • Environmental
  • Mining and Resources
  • Government
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