I-ta Lee
Staff Research Scientist at Meta
Sunnyvale, California, United States
Summary
👤
Senior🎓
Top SchoolI-ta Lee is a Staff Research Scientist at Meta with 11 years of experience applying NLP, graph learning, and user intent modeling to ads personalization and ranking. A Purdue PhD, she has moved from academic research in commonsense inference and event embedding to driving LLM-based ad content understanding and real-time graph learning in production. Her work spans core ML research and practical systems engineering—from sequence models for security data to embedded firmware early in her career—enabling a rare combination of low-level systems fluency and cutting-edge representation learning. Based in Sunnyvale, she excels at turning research prototypes into scalable ad-ranking features and is known for blending rigorous experimentation with product-minded deployment.
11 years of coding experience
8 years of employment as a software developer
Bachelor's degree Computer Science, Bachelor's degree Computer Science at Yuan Ze UniversityDoctor of Philosophy (Ph.D.) Computer Science, Doctor of Philosophy (Ph.D.) Computer Science at Purdue UniversityMaster's degree Computer Science, Master's degree Computer Science at National Tsing Hua University
English, Chinese
Stackoverflow
1reputation
0reached
0answers
0questions
Github Skills (37)
stanford-nlp10
relation10
arabic-nlp9
named-entity-recognition9
lda9
similarity9
semantics9
word-embeddings9
natural-language-processing9
sentiment9
sentiment-analysis9
information-theory9
turkish9
nlp9
corenlp9
Programming languages (2)
Github contributions (5)
doug919/multi_relational_script_learning
May 2019 - Nov 2019
This repository contains code, data, and pre-trained models for the paper "Multi-Relation Script Learning for Discourse Relations"
Contributions:31 commits, 9 pushes in 5 months
pytorchrelationsdiscourseinformation-theoryfairness-ml
doug919/doug919.github.io
Sep 2017 - Jan 2023
Contributions:80 pushes, 1 branch in 5 years 5 months
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