Research Associate, Queensland University of Technology, Brisbane, Australia
Areas of interest
- Ecosystem conservation
- Coral reefs
- Community dynamics
- Data analysis
- Spatio-temporal models
- Bayesian stats
I am currently working on the digital Great Barrier Reef. The main aim of this project is to improve the monitoring of the Great Barrier Reef by using reef pictures from citizens. These pictures are used to inform spatio-temporal models of the health of the GBR.
Virtual reality is also developed in this project bringing new types of visualization and tools for ecosystems conservation.
More information and updates here: http://reefvis.stats.technology/
I am also part of a team working on jaguar conservation in the Peruvian Amazon. We use new virtual technology and statistics to improve knowledge on the location and abundance of jaguars in deepest jungle regions.
More information: http://vis.stats.technology/
Vercelloni, J., M. J. Caley, M. Kayal, S. Low-Choy and K. Mengersen. 2014. Understanding Uncertainties in Non-Linear Population Trajectories: A Bayesian Semi-Parametric Hierarchical Approach to Large-Scale Surveys of Coral Cover. PLoS ONE 9: e110968.
Kayal, M., J. Vercelloni, T. Lison de Loma, P. Bosserelle, Y. Chancerelle, et al. 2012. Predator crown-of-thorns starfish (Acanthaster planci) outbreak, mass mortality of corals, and cascading effects on reef fish and benthic communities. PloS one 7:e47363.
Mourier, J., J. Vercelloni and S. Planes. 2012. Evidence of social communities in a spatially structured network of a free-ranging shark species. Animal Behavior 83(2), 389-401.
Kayal, M., J. Vercelloni, M. P. Wand and M. Adjeroud 2015. Searching for the best bet in life-strategy: a quantitative approach to individual performances and population dynamics in reef-building corals. Ecological Complexity, 23:73-84.
2015 – PhD. Applied Bayesian Statistics, Queensland University of Technology & Australian Institute of Marine Sciences, Brisbane, Australia
2010 – MSc. Oceanography and Marine Environment, Université Pierre et Marie Curie, Paris 6, France
2009 – BSc. Marine Biology, Université Aix-Marseille II, Marseille, France
Mathematical Sciences School
Science and Engineering Faculty
Australian Research Council Centre of Excellence for Mathematical and Statistical Frontiers
Queensland University of Technology
Room Y801C, Y Block, Level 8, Gardens Point Campus
ORCID ID orcid.org/0000-0001-5227-014X