Doh Mo is a Senior Data Scientist based in Seoul with 11 years of experience bridging theoretical physics and applied machine learning. With a Ph.D. in Theoretical High Energy Physics from Seoul National University and a dual physics-math undergraduate from KAIST, he brings rigorous quantitative thinking to NLP and knowledge graph projects at Samsung Electronics. He co-founded a trading analytics startup that was acquired, demonstrating product-minded entrepreneurship alongside research credentials. A Haskell enthusiast fluent in TensorFlow and PyTorch, he combines functional programming sensibilities with practical deep learning workflows. Notably, his background in fundamental physics informs creative approaches to complex probabilistic and relational modeling problems.
11 years of coding experience
2 years of employment as a software developer
Doctor of Philosophy (Ph.D.), Theoretical High Energy Physics, Doctor of Philosophy (Ph.D.), Theoretical High Energy Physics at 서울대학교
Bachelor's degree, Physics and Mathematics, Bachelor's degree, Physics and Mathematics at 한국과학기술원(KAIST)
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