Wonho Bae
AI/ML Resident
Apple Inc.
Biography
AI/ML Resident at Apple exploring audio and speech recognition tasks.
My research interest includes developing data-efficient ML algorithms, such as active, meta, semi-, and weakly-supervised learning for both classification and generation tasks across various modalities in the form of image, text, and audio.
I am also generally interested in deep learning theory, probabilistic modeling and kernel methods.
I obtained my PhD in computer science at UBC under the supervision of Prof. Danica J. Sutherland, and my bachelor’s and master’s from UC Berkeley and UMass, Amherst, respectively.
Previously, I also worked as a research intern at Borealis AI from 2022 to 2023 with Gabriel L. Oliveira and Fred Tung.
Interests
- Active learning
- Meta learning
- Weakly supervised
- Probabilistic modeling
- Federated learning
Education
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PhD in Computer Science, 2025
University of British Columbia, Vancouver
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Master's in Computer Science, 2020
University of Massachusetts, Amherst
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Bachelor's in Statistics, 2017
University of California, Berkeley