YJ Choe is an Assistant Professor of Decision Sciences at INSEAD Singapore with 11 years of experience at the intersection of statistics, machine learning, and applied deep learning. He earned a Ph.D. in Statistics and Machine Learning from Carnegie Mellon University and previously served as a postdoctoral scholar at the University of Chicago’s Data Science Institute. Before academia he worked as a research scientist focused on deep learning and natural language processing at Kakao and KakaoBrain, bringing industry-grade ML research to production contexts. His work bridges rigorous probabilistic modeling and practical NLP systems, reflecting a blend of theoretical depth and engineering pragmatism. Based in Singapore, he maintains an up-to-date academic and project portfolio at yjchoe.github.io, signaling active engagement in both research dissemination and applied ML. Colleagues note his ability to translate complex statistical ideas into decision-facing tools for business and policy.
11 years of coding experience
3 years of employment as a software developer
High School, High School at Hankuk Academy of Foreign Studies
Doctor of Philosophy - PhD Statistics and Machine Learning, Doctor of Philosophy - PhD Statistics and Machine Learning at Carnegie Mellon University
Bachelor of Science - BS Mathematics and Computer Science, Bachelor of Science - BS Mathematics and Computer Science at University of Chicago
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