Episode 36

Data Science and Ecology (with Christie Bahlai)

August 20th, 2018
machine learning

The intersection of data science and ecology and the adoption of techniques such as machine learning in academic research. 

About Christie Bahlai

Christie is a computational ecologist who uses approaches from data science to help solve problems in conservation, sustainability, and ecosystem management.  She combines a background in physics and organismal ecology with influences from the tech sector and conservation NGOs to ask questions and build tools addressing problems in population ecology. She likes insects, information theory, and practical answers to complex questions.  She has published a surprising number of scientific papers about ladybugs.