About me
I am a conservation ecologist, interested in developing
methodology and theory to inform wildlife management decisions in a changing world
methodology and theory to inform wildlife management decisions in a changing world
Summary:
Originally from New Caledonia, my research aims to develop methodology and theory to inform wildlife management decisions in a changing world. I work with machine learning, optimisation and theorical modelling tools to better understand wildlife population management in a changing world. Currently, I am working as a postdoc at Kew Royal Botanic Gardens working on protected area placement using reinforcement learning tools. Prior to this I was working with the University of Konstanz and the Max Planck using Neural Nets to detect animal vocalisations, and at the Swiss ornithological institute investigating bird migration and conservation using biologging data. Previously, I was working at the Centre for Ecology and Hydrology as a Postdoctoral Research Associate. More specifically, I have a role as an Ecological Modeller, working on a variety of projects which model (i) pollination ecosystem services, (ii) optimising crop rotations, and (iii) species networks in agricultural landscales. My PhD, which was submitted in 2015 under the supervision of Richard Fuller, Karen Mustin and Hugh Possingham, focused on providing the science necessary to make informed decisions on how to conserve migratory species at multiple scales – from the scale of a protected area, to the national and international levels. I also have an MRes in Computational Biology from the University of York (2011) and a BSc (Hons) in Environmental Science (Ecology) from the University of Aberdeen (2010). My research during this period focused primarily on modelling the effects of disturbances and stochastic processes on population dynamics. |