Kyubum Lee
Principal Data Scientist
Thousand Oaks, California, United States
Summary
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Senior🎓
Top SchoolKyubum Lee is a Principal Data Scientist with a decade of experience applying ML, NLP, and multimodal AI to accelerate drug development and clinical trials. Trained in computer science, biotechnology and bioinformatics (PhD), he has moved research into impact—reducing manual curation workloads by ~70% at NCBI and leading AI-driven literature search, information extraction, and RAG-based Q&A systems at Amgen. His work spans histopathology image analysis, multi-omics integration, and variant-focused text mining, including a visiting scientist stint at deCODE Genetics and a large-scale cancer data portal (CORALE). Kyubum blends deep academic rigor with production-focused engineering, consistently shipping tools that bridge biomedical research and translational decision-making. Colleagues know him for turning complex biomedical signals into practical ML pipelines and for mentoring cross-disciplinary teams to deliver reproducible, data-driven insights.
10 years of coding experience
1 year of employment as a software developer
Doctor of Philosophy (Ph.D.) Data mining Machine Learning Bioinformatics Medical Informatics, Doctor of Philosophy (Ph.D.) Data mining Machine Learning Bioinformatics Medical Informatics at Korea University
English, KoreanGithub contributions (4)
ncbi-nlp/VarTriage
May 2018 - May 2018
Contributions:14 commits, 2 pushes, 1 branch in 7 days
kyubumlee/VarTriage
May 2018 - Nov 2018
Contributions:10 pushes, 1 branch in 5 months
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