Yi-lin Sung
Research Scientist at Google
Chapel Hill, North Carolina, United States
Summary
👤
Senior🎓
Top SchoolYi-lin Sung is a research scientist focused on multimodal deep learning, parameter-efficient methods, and continual learning, with eight years of experience spanning industry research roles at Google, Meta, and Microsoft. Currently at Google building agents for Workspace, she has a track record of internships and short-term research appointments advancing VLM critics, efficient text-to-image generation, and model merging. She publishes in top AI venues and is completing a PhD in Computer Science at UNC Chapel Hill, bringing strong academic rigor to applied problems. Originally trained in communication engineering and chemical engineering in Taiwan, she combines cross-disciplinary thinking with practical ML engineering to tackle data- and compute-efficient multimodal systems.
8 years of coding experience
3 years of employment as a software developer
Master of Science - MS, Communication Engineering, Master of Science - MS, Communication Engineering at National Taiwan UniversityDoctor's Degree, Computer Science, Doctor's Degree, Computer Science at The University of North Carolina at Chapel Hill
Chinese, English
Github Skills (87)
transformers10
language-model10
python10
classifier10
infrastructure10
deep-learning10
gpu10
mnist10
robustness10
ai10
transformer10
nlp10
jax10
lightning10
sparse10
Programming languages (4)
Github contributions (5)
ylsung/TetrisBattle
Jul 2019 - Mar 2020
Reproduced the popular Facebook game -- Tetris Battle! Also provided openAI environments.
Contributions:38 commits, 4 PRs, 37 pushes in 8 months
gamebattleopenai-apifacebookfacebook-game
ylsung/lightning-semi-supervised-learning
Apr 2020 - Nov 2020
Implementation of semi-supervised learning using PyTorch Lightning
Contributions:28 commits, 8 PRs, 14 pushes in 7 months
pytorchsupervised-learningsuperviseddeep-learningsemi
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