Data analytics for building healthy ecosystems
Grant is a quantitative marine ornithologist with over 16 years of experience working with seabirds and multivariate statistics in various parts of the world and 6 years of experience working in the offshore wind industry. He holds a PhD in Zoology from the University of Otago and is the founder of Black Bawks Data Science, the vice-chair of the World Seabird Union and sits on the board of Oceanites Inc as the director of science. Grant has published over 40 peer-reviewed papers in academic journals and many reports ranging from impacts of offshore renewables on marine life to the impacts of tourism on Antarctic penguin populations. He was also the lead editor of “Machine learning for sustainable natural resource management” published by Springer Nature in 2018. Grant furthermore has developed and contributed to several R-based analytical packages and web-based tools including the `stochLAB` package for stochastic collision risk modelling for offshore windfarms and the migratory collision risk model. He is a guitarist and mandolin player and lives in the Scottish highlands with his two girls, his partner, and a plethora of furry animal friends.
Laura is a Seattle-based marine ecologist who received her MSc in Statistical Ecology with distinction from the University of St Andrews in 2021 and her BASc in Marine Conservation Biology from Quest University Canada in 2017. Her research interests include statistical ecology, bioacoustics, animal behavior, and human-wildlife interactions. She has worked with marine wildlife across a variety of sectors including non-profit, academic, expedition tourism, and commercial development. In her free time, Laura enjoys traveling, plant-based cooking, and spending time in the mountains with her partner and her dog. Above all, Laura hopes to spend her career conducting research and outreach that directly contributes to the scientific understanding and mitigation of human impacts on marine wildlife.
“If you are looking for a book that describes how ML has been used or could be used on your own spatial ecology data sets, I recommend this book. I also recommend it for readers looking for a book that provides thoughtful arguments about data analysis, in general, and where it could be moving in the future.”
John Carriger, Integrated Environmental Assessment and Management, Vol. 16 (1), 2020
Just a smattering of some of the great teams we’ve been able to support and work with so far