Yen-ting Lin
Research Scientist at Google DeepMind
Tokyo, Japan
Summary
🤩
Rockstar🎓
Top SchoolYen-ting Lin is a research scientist and Ph.D. candidate at National Taiwan University with seven years of experience building and evaluating large language models, especially zh-tw systems that capture cultural nuance. Her Taiwan-LLM project targets over 220 million Traditional Mandarin speakers, reflecting a rare focus on regional linguistic fidelity in LLM development. She has bridged academia and industry through internships and roles at Amazon, NVIDIA, Meta, and now Google DeepMind, contributing to factuality evaluation, MoE/error correction, long-reasoning distillation, and Gemini speech-to-speech post-training. Yen-ting’s work blends rigorous evaluation methods with practical deployment insights—evident from prize-winning biomedical NLP and retrieval improvements earlier in her career. Based in Tokyo, she combines cross-cultural perspective with hands-on model engineering to improve LLM factuality and cultural accuracy. Colleagues describe her as research-driven but product-minded, able to turn complex model improvements into usable system gains.
7 years of coding experience
2 years of employment as a software developer
Doctor of Philosophy - PhD, Computer Science, Doctor of Philosophy - PhD, Computer Science at National Taiwan University
Chinese, English
Github Skills (73)
transformers10
language-model10
python10
flax10
mlops10
deep-learning10
libary10
llmops10
multi-gpu10
xpu10
transformer10
gpt10
nlp10
jax10
llama10
Programming languages (3)
Github contributions (5)
MiuLab/Taiwan-LLM
Aug 2023 - Jan 2025
Traditional Mandarin LLMs for Taiwan
Contributions:1 release, 4 reviews, 17 PRs in 1 year 4 months
langauge-modelllmtaiwantraditional-mandarintwllm
adamlin120/lm
Jul 2020 - Jan 2024
Contributions:1 PR, 30 pushes, 1 branch in 3 years 6 months
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