Analysis of biological data based on machine learning
I am working on analysis of biological data using machine learning technology. "Speech recognition" for animal voice is an example. Animals produce acoustically different sounds every time they vocalize, just as we humans do. Unlike human speech, however, no one can easily tell us the ground truth interpretation of animal vocalization, and even basic questions like "How many categories of voice exist?" are difficult to answer. Machine learning helps us address such challenging questions.
Other research topics include analysis of inter-individual relations and social structure of animals from their behavioral data (e.g. movement trajectories) and automated detection of morphological features of skeletal specimens characterizing sex, age, and other biological properties. Again, my goal is to make new discoveries in biology that are overlooked by human researchers.
- 2018 Ph.D in Linguistics, received from Massachusetts Institute of Technology
- 2018 Researcher, Primate Research Institute, Kyoto University
- 2021 Assistant Professor, SANKEN (the Institute of Scientific and Industrial Research), Osaka University
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