Yuya Asano is a fourth-year Ph.D. candidate in Intelligent Systems at University of Pittsburgh,
supervised by Professor Diane J. Litman. His research interest lies in the intersection of natural language processing (NLP),
human-computer interaction (HCI), and educational technology. He works on the application of NLP, in particular dialogue systems and large language models (LLMs) in the domain of education
to make distance learning more interactive and offer rich education to everyone regardless of their socioeconomic status.
He received HBSc in Computer Science at University of Toronto, Canada, where
he worked with Professor Joseph Jay Williams on applying reinforcement learning to educational interventions. He also collaborated
with Professor Carolyn Penstein Rose and Professor Majd Sakr at
Carnegie Mellon University on the generation of instructionally beneficial programming hints for students and the thematic summarization of
students' in-course reflections.
Education
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(Expected) Ph.D. |
Intelligent Systems, University of Pittsburgh |
08/2021 - Present |
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HBSc |
Computer Science, University of Toronto |
09/2018 - 06/2021 |
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Biography »
CV (PDF)»
