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I'm a 4th-year Ph.D. candidate in Computer Science at the University of Toronto, working under the supervision of Prof. Khai Truong.

My research centers human-AI interaction, with an emphasis on accessibility and creativity support, particularly in enhancing "music accessibility" for d/Deaf and hard-of-hearing individuals. One of my main projects involves song signing to support culturally responsive content creation and encourage collaboration between d/Deaf and non-d/Deaf artists. Another aspect of my work focuses on enhancing people's well-being. I am engaged in projects that support individuals with dementia in their out-of-home experiences and encourage mindful eating behaviours among children.

I completed my B.Sci in Computer Science and Engineering at Ewha Womans University, where I was advised by Prof. Uran Oh (Human-Computer Interaction Lab) and Prof. Hyokyung Bahn (Distributed Computing and Operating System Lab). Additionally, I worked as a research intern at the Samsung AI Centre Toronto under the guidance of Dr. Iqbal Mohomed, and at NAVER AI (HCI group) with Dr. Young-Ho Kim.

About me!

Curriculum Vitae

SUHYEON YOO  류수현  suhyeon.yoo@mail.utoronto.ca EDUCATION Sep 2021-  Present Ph.D. in Computer Science University Of Toronto  🔗   Cumulative GPA:  3.93/4.0 Mar 2017 - Feb 2021 B.S. in Computer Science & Engineering   Ewha Womans University  🔗 Cumulative GPA:  4.14/4.3 Summa Cum Laude  Dean’s List for  all semesters WORK  EXPERIENCE Research Scientist/Engineer Intern  | Adobe Research, New York, United States May  2025 - Aug 2024 CAVA - STORIE LAB Advisor: Anh Truong  🔗 Created an AI-assisted sound design tool that supports video creators to generate  story-driven soundscapes (CHI'26). Selected for  Adobe MAX – The Creativity Conference. Ph.D. Research Intern  | NAVER AI Lab, Seoul, South Korea May  2024 - Sep 2024 Human-Computer Interaction research group Advisor: Dr. Young-Ho Kim  🔗 Designed an LLM-leveraged interactive system to support lyric translation (ENG-ASL). Ph.D...
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