About

Carla Ewels is a Lecturer in statistics/data sciences at James Cook University. She received her doctoral in statistics from the Queensland University of Technology supervised by the Distinguished Professor Kerrie Mengersen. Carla has strong interests in statistical modelling and methods, particularly in the Bayeisan framework. These include, but are not limited to, modelling of complex systems, Bayesian temporal and spatial models, model comparisons, classification, clustering, analysis of big data and Markov Chain Monte Carlo methods. She is especially interested in applying statistics to real problems. To date, she has worked in the field of marine and medical research, genetics, agriculture and fisheries.

Teaching
  • MA2405: Advanced Statistical Modelling (Level 2; CNS & TSV)
  • MA3405: Statistical Data Mining for Big Data (Level 3; CNS & TSV)
  • MA3831: Natural Language Processing, Web Scraping and Large Data Processing (Level 3; CNS & TSV)
  • MA5405: Data Mining (Level 5; TSV)
  • SC2209: Quantitative Methods in Science-Advanced (Level 2; CNS & TSV)
  • SC5200: Professional Employability (Level 5; CNS & TSV)
Interests
Research
  • Statistical modelling and methods
  • Bayesian statistics
  • Real world data
  • Uncertainty
  • Data sciences
  • Model and variable selection
Teaching
  • Statistics
Research Disciplines
Socio-Economic Objectives
Publications

These are the most recent publications associated with this author. To see a detailed profile of all publications stored at JCU, visit ResearchOnline@JCU. Hover over Altmetrics badges to see social impact.

Journal Articles
Conference Papers
Current Funding

Current and recent Research Funding to JCU is shown by funding source and project.

Australian Research Council - Linkage - Industrial Transformation Research Hubs

ARC Research Hub for Supercharging Tropical Aquaculture Through Genetic Solutions

Indicative Funding
$4,996,503 over 4 years, in partnership with Australian Genome Research Facility ($150,000); Cygnet Bay Pearls PL ($500,000); Mainstream Aquaculture ($500,000); Sea Forest Pty Ltd ($500,000) and THE COMPANY ONE PTY LTD ($500,000)
Summary
This project aims to integrate cutting edge genetic and genomic approaches into innovative aquaculture enterprises that farm in tropical northern Australia. It will deliver the requisite genetic knowledge to instigate world-leading and highly productive breeding programs for five species (barramundi, pearl oyster, prawn, grouper and marine seaweed), along with a novel understanding of the genetic basis of disease resistance and how the production environment interfaces with the bacterial microbiome, pathogens and water quality to cause disease. It will increase Australia's capacity to deliver advanced genetics outcomes to the aquaculture sector, while increasing productivity, international competitiveness, and lowered risk due to disease.
Investigators
Dean Jerry, Kyall Zenger, Benjamin Hayes, Rocky de Nys, David Bourne, Andreas Lopata, Ron White, Jan Strugnell, Chaoshu Zeng, Kelly Condon, Mostafa Rahimi Azghadi, Ira Cooke, Leo Nankervis and Carla Ewels (College of Science & Engineering, The University of Queensland, College of Public Health and Medical & Vet Sciences)
Keywords
Selective Breeding; Genomics; Aquaculture

Great Barrier Reef Foundation - Crown-of-Thorns Control Innovation Program (CCIP)

Empirical decision support

Indicative Funding
$147,000 over 4 years
Summary
Innovation program on CoTS control in the GBR. I am involved in the subject program, empirical decision support. In this part of program, our goal is to deliver immediate and ongoing decision support using available data, this includes analysing program data to enhance the efficiency of on water operation and the development of a new early warning system that leverages data from field and modelled data.
Investigators
Carla Ewels (College of Science & Engineering)
Keywords
Crown of thorn starfish; Early earning system; Empirical decision support

Great Barrier Reef Foundation - Crown-of-Thorns Control Innovation Program (CCIP)

Crown-of-thorns starfish control innovation program ? Feasibility and Design Phase (Phase 1)

Indicative Funding
$346,700 over 1 year
Summary
Recognising that manual control of COTS during outbreaks is not, on its own, an ideal long-term solution, new efforts were launched in 2016 to develop an Integrated Pest Management approach for COTS (as part of the National Environmental Science Program), led by CSIRO and involving numerous partners. This approach relies on understanding COTS distribution, movement and population dynamics, targeting critical locations and exploring new and more effective control methods. This involves both improving the efficiency and effectiveness of the current methods while also focusing efforts to better understand and manage the pre-conditioning and initiation of outbreaks. A Feasibility and Design Phase (Phase 1) is focused on assessing the feasibility (technical, social and regulatory) and modelling the benefit (impact) at scale of a broad range of possible improvements and interventions. Applying a transparent and consistent scientific framework, this Phase will lead to recommendations on priority areas that should be further investigated and developed
Investigators
Morgan Pratchett, Damien Burrows, Ciemon Caballes, Stewart Lockie and Carla Ewels (ARC Centre of Excellence for Coral Reef Studies, College of Science & Engineering and The Cairns Institute)
Keywords
Coral Reef; acanthaster spp; Management; Disturbance; Monitoring
Supervision

Advisory Accreditation: I can be on your Advisory Panel as a Primary or Secondary Advisor.

These Higher Degree Research projects are either current or by students who have completed their studies within the past 5 years at JCU. Linked titles show theses available within ResearchOnline@JCU.

Current
  • Parallel and Scalable Neural Network Algorithms (PhD , Secondary Advisor)
  • Using Weather Radars to Inform Data-Driven Irrigation Practices (Masters , Secondary Advisor)
  • Dynamic and stochastic vehicle routing for autonomous weed control. (PhD , Secondary Advisor)
Collaboration

The map shows research collaborations by institution from the past 7 years.
Note: Map points are indicative of the countries or states that institutions are associated with.

  • 5+ collaborations
  • 4 collaborations
  • 3 collaborations
  • 2 collaborations
  • 1 collaboration
  • Indicates the Tropics (Torrid Zone)

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