Seanie Lee
Research Intern at Apple
Seoul, South Korea
Summary
👤
Senior🎓
Top SchoolSeanie Lee is a PhD student at KAIST and a research-focused machine learning engineer with a decade of experience building and studying deep learning and NLP systems. He has held multiple competitive research internships—at Apple (twice), Mila under Yoshua Bengio, NUS, and KRAFTON—working on topics from model safety guardrails to core AIML research. Comfortable bridging theory and practice, he pairs rigorous mathematical curiosity (mathematics as a hobby) with hands-on model development in industry and academic labs. Based in Seoul, he brings strong academic credentials and cross-cultural experience, including a top-ranked undergraduate background in Library and Information Science and fluency in French from a language-specialized high school. Notably, his internships span both product-facing safety work and foundational research, signaling versatility in tackling real-world and theoretical ML challenges.
10 years of coding experience
1 year of employment as a software developer
French, French at Hanyoung Foreign Language High SchoolBachelor's degree, Library and Information Science, 4.18 / 4.30, Bachelor's degree, Library and Information Science, 4.18 / 4.30 at Yonsei University 연세대학교Doctor of Philosophy - PhD, Artificial Intelligence, Doctor of Philosophy - PhD, Artificial Intelligence at Korea Advanced Institute of Science and Technology
Stackoverflow
3reputation
293reached
0answers
1question
Github Skills (57)
pytorch10
hierarchical10
python10
acl10
machine-learning10
grapheme10
semi-supervised-learning10
deep-learning10
tensorflow10
natural-language-processing10
phoneme10
transformer10
speech-recognition10
nlp10
arxiv10
Programming languages (4)
Github contributions (5)
seanie12/Info-HCVAE
Apr 2020 - Nov 2022
[ACL 2020] Generating Diverse and Consistent QA pairs from Contexts with Information-Maximizing Hierarchical Conditional VAEs
Contributions:58 commits, 1 PR, 38 pushes in 2 years 7 months
pytorchnlpdiverseacl2020semi-supervised-learning
seanie12/mrqa
Jun 2019 - Jul 2020
Code for EMNLP-IJCNLP 2019 MRQA Workshop Paper: "Domain-agnostic Question-Answering with Adversarial Training"
Contributions:76 commits, 1 push in 1 year 1 month
nlpquestionarxivabsworkshop
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