Jooyoungย Moon
Senior Research Engineer at Korea Electric Power Corporation (KEPCO) Data Science Lab
Seoul, South Korea
Summary
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Top SchoolJooyoung Moon is a Senior Research Engineer with eight years of experience applying data science and machine learning to energy-sector problems at KEPCO, specializing in forecasting, anomaly detection, and GIS analysis. He built on academic research in confidence-aware learning and out-of-distribution uncertainty for deep neural networks, work connected to the 2020 ICML conversation on reliable AI. Based in Seoul, he combines a practical production focusโdeploying models for grid operationsโwith a solid research foundation from a master's in Data Science. Colleagues know him for bridging theory and practice: translating uncertainty-aware methods into robust monitoring and forecasting pipelines for critical infrastructure. Although his GitHub activity is minimal, his published research background signals a disciplined, reproducible approach to model validation and risk-aware deployment.
8 years of coding experience
Master's degree, Data Science, Master's degree, Data Science at Seoul National University of Science and Technologyํ์ฌ, ๊ฒ์๋ฉํฐ๋ฏธ๋์ด๊ณตํ, ํ์ฌ, ๊ฒ์๋ฉํฐ๋ฏธ๋์ด๊ณตํ at Woosong UniversityProgramming languages (1)
Github contributions (5)
MOONJOOYOUNG/kakaoplus2
Mar 2018 - Mar 2019
Contributions:238 commits, 231 pushes, 1 branch in 1 year
MOONJOOYOUNG/Deep-learning-Uncertainty-papers
Nov 2019 - Nov 2021
Contributions:66 commits, 65 pushes, 1 branch in 2 years
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