Giorgia Vattiato

Studying towards a PhD in CAMS, thesis title: Modelling Effects of Individual Heterogeneity on Emergent Population Characteristics
Location: Jack Erskine
Country of origin: Italy
Giorgia Vattiato

Supervisors:

Primary Supervisor: Michael Plank
Co-Supervisor: Alex James

Research Interests

Animal behaviour, ecology, mathematical modelling

Working thesis title

Modelling Effects of Individual Heterogeneity on Emergent Population Characteristics

Personal Interests

Sports, travelling, reading fantasy novels, videogaming, linguistics

Campus Life

Giorgia can usually be found in Jack Erskine, loudly complaining about life and code bugs to her office sister Sahana. She is also occasionally seen in the Undercroft, eating chips and reading Harry Potter for the 1028349832453th time.

Personal History

Giorgia was born and raised in beautiful Palermo, Sicily, where she happily lived with her large family until the age of 19. Her dream was always to move to the UK and become an ethologist, so when she finished high school it made sense to get enrolled into a French engineering school. Six years later she decided to further annoy her mum by moving to the other side of the planet to do her PhD.

Academic History

2018-date: PhD student - University of Canterbury, School of Mathematics and Statistics

2012-2017: Engineering degree at INSA Lyon (France) - Bioscience department, specialization in Bioinformatics and Modelling

Professional History

2019-date: Mathematics tutor at UC

2017-2018: 8-month work experience as events organiser for an ecology association (Les Ecologistes de l'Euzière - Montpellier, France)

2015-2017: part-time volleyball referee

2017: Ecological modelling 5-month research internship (CEFE, CNRS - Montpellier, France)

2016: Software engineering 4-month internship (Cosmo Tech - Lyon, France)

Publications

  • "Individual heterogeneity affects the outcome of small mammal pest eradication" (IN REVIEW)
  • Theses:
    Master's thesis: "A theoretical study of the efficiency of zebras' water search strategies in semi-arid environments"