I am an ecologist and data scientist with an interest in using data science techniques for conservation outcomes.
My scientific work has focussed on measuring and understanding the impacts of environmental change on natural systems, particularly the impacts of climate change. I completed my Ph.D. at the Australian National University with Dr. Martijn van de Pol and Dr. Naomi Langmore, focussing on the impacts of increased flooding on the Eurasian oystercatcher (Haematopus ostralegus). Since then my work has included analysis of extreme heat impacts in semi-arid environments and advancing reproductive timing in European passerines.
My scientific work has always involved data science, including programming in R and SQL, statistical analyses, and GIS. In 2019 I officially branched out into the world of data science, first as lead developer for the SPI-Birds Network and Database and then in a corporate setting with the language learning app Babbel.
I am now based in Berlin as a post-doc at the Leibniz Institute for Zoo and Wildlife Research, using agent-based modelling to understand the impacts of management strategies on the spotted hyena (Crocuta crocuta). In my free time I coordinate the Berlin chapter of CorrelAid using data for good.
PhD in Ecology, 2017
Australian National Unveristy
BEnvSc in Biology, First Class Honours, 2011
Monash University, Melbourne
The Data Day 8 is really more a puzzle than a coding challenge. We’re given the inputs and outputs from a broken 7-segment display (like on a digital clock).
The Data For Day 7 we move from fish to crabs, that are supposedly using submarines 🤷. I did not come up with the context for this! Either way, we are given a vector of (1-dimensional) positions for each crab and need to identify the position where all crabs can meet that involves the smallest amount of movement.
The Data For Day 6 we have to model the growth of a population of fish…this is much closer to my comfort zone. See the explanation for today’s challenge here.
The Data It’s Day 5 and we’re 20% of the way through the advent challenge! See the explanation for today’s challenge here. Today’s challenges will again involve working with indexing numbers in The Matrix a matrix.
The Data See the explanation for today’s challenge here. Most of the data we’ve dealt with so far has been 1 dimensional vectors, but for Day 4 we’re going to start working with 3-dimensional data.