Yeda Song
Pronounced 'yeh-dah' (like 'Ye' in 'Yes')
Hi, I'm a first-year Ph.D. student in Computer Science and Engineering at the University of Michigan. I am fortunate to be advised by
Prof. Honglak Lee and to work alongside
wonderful groupmates
Jacob Sansom
Muhammad Khalifa
Tiange Luo
Violet Fu
Yiwei Lyu
Anthony Liu (Graduated 🎉)
Yunseok Jang (Graduated 🎉)
.
Before joining UMich, I earned my M.S. in Artificial Intelligence from Seoul National University,
where I had the privilege of being advised by Prof. Gunhee Kim
in the Vision & Learning Laboratory.
My research interests lie in multimodal agents and reinforcement learning, with the goal of building real-world agents.
Specifically, I am interested in leveraging and developing vision-language models to establish an effective cycle of perception, reasoning, decision-making, and grounding.
Currently, I am working on scalable methods for constructing datasets from videos to support the development of generalizable computer-using agents (CUA).
(Last updated on: Feb 10, 2025)
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University of Michigan
Ph.D. student in Computer Science & Engineering
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Aug. 2024 - Current
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Seoul National University
M.S. in Artificial Intelligence
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Mar. 2022 - Feb. 2024
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Seoul National University
B.S. in Statistics
B.S. in Artificial Intelligence
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Mar. 2017 - Feb. 2022
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Hong Kong University of Science and Technology
Exchange Student
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Fall 2019
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Seoul Science High School
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Mar. 2014 - Feb. 2017
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Anomaly Analysis Lab, Alchera Inc.
Machine Learning Researcher
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Jun. 2021 - Aug. 2021
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Multiscale Methods in Statistics Lab, Seoul National University
Research Intern
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Mar. 2021 - Jun. 2021
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Bioinformatics and Biostatistics Lab, Seoul National University
Research Intern
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Jan. 2020 - Jun. 2020
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AI Fellowship
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Mar. 2022 - Feb. 2024
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Presidential Science Scholarship
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Mar. 2017 - Feb. 2021
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Hanseong Nobel Scholarship (Sector: Mathematics)
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Mar. 2015 - Feb. 2017
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