I am a CCB Research Associate at the Cornell Lab’s K. Lisa Yang Center for Conservation Bioacoustics (CCB). I apply machine learning and statistics in order to decode information about wildlife, mainly whales and elephants, from years of acoustic data. Through the processing of endless sound, we are able to understand when animals vocalize (sound detection), what species it is (sound classification), where they vocalize (sound localization) and what sounds they make (call characterization). The goal of doing all these quantitative exercises, with a clear scientific question, experimental design, and behavioral information, is to understand how animals communicate as well as monitor their presence and population. I’m also looking for new generations of sensors so that we can collect a comprehensive dataset of everything about wildlife.
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