Wonho Bae
AI ML Resident at Apple
Boston, Massachusetts, United States
Summary
👤
Senior🎓
Top SchoolWonho Bae is an AI/ML researcher and PhD candidate with nine years of experience specializing in data-efficient learning, computer vision, and low-supervision methods such as active, semi- and weakly-supervised learning and meta-learning. Currently an AI/ML Resident at Apple working on federated automated speech recognition, he has a strong research track record from UBC and industry internships at Borealis AI tackling temporal point processes, diffusion models, and budget-robust active learning. His work bridges statistical learning theory and deep learning practice, recently focusing on in-context and preference learning for large language models—an unusual pivot that highlights his versatility across discriminative and generative models. A former signals intelligence analyst in the South Korean Army, he brings disciplined analytical skills and experience deploying research tools in applied settings, including an open-source web tool for ecological image classification.
9 years of coding experience
8 years of employment as a software developer
Bachelor's degree, Statistics, 3.76, Bachelor's degree, Statistics, 3.76 at University of California, BerkeleyDoctor of Philosophy - PhD, Computer Science, 4.0, Doctor of Philosophy - PhD, Computer Science, 4.0 at The University of British ColumbiaMaster of Science - MS, 3.78, Master of Science - MS, 3.78 at University of Massachusetts AmherstAssociate's degree, Economics, Associate's degree, Economics at Santa Monica College
Korean, English
Github Skills (34)
localization7
kernel6
weakly-supervised-learning6
bayesian-inference6
dropout6
semi-supervised-learning6
gaussian-processes6
pytorch4
machine-learning4
semantic-segmentation4
deep-learning4
python4
adversarial-learning4
information-theory3
consistency3
Programming languages (3)
Github contributions (5)
won-bae/won-bae.github.io
Oct 2019 - Mar 2025
Contributions:153 pushes, 1 branch in 5 years 6 months
won-bae/PytorchTemplate
Oct 2020 - Oct 2022
Contributions:6 pushes, 1 branch in 2 years
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