Works at – Associate Professor at Trinity College Dublin
Teaches – Stable Isotope Mixing Models using SIAR, SIBER and MixSIAR (SIMM)
Andrew graduated with a science degree in zoology before completing a phd in theoretical ecology and has moved ever further in computational and mathematical ecology over the 9 years since. Andrew’s expertise is in building custom computational and statistical models to better understand the behaviour of ecological and evolutionary systems. As a biologist by training, Andrew is particularly sensitive to the challenge many people face with learning quantitative techniques on top of their already large biological skill-set.
Andrew currently leads a research programme looking at how the rate at which visual information can be acquired and processed varies among individuals and species and he also continues to lead computational methodological developments in stable isotope ecology. He collaborates widely with other scientists working on topics such as: ecological stability, adaptive systems in computer science, epidemiology and sea-bird foraging ecology.
