CV
Education
- Ph.D in Version Control Theory, GitHub University, 2018 (expected)
- M.S. in Jekyll, GitHub University, 2014
- B.S. in GitHub, GitHub University, 2012
Work experience
- Spring 2024: Academic Pages Collaborator
- GitHub University
- Duties includes: Updates and improvements to template
- Supervisor: The Users
- Fall 2015: Research Assistant
- GitHub University
- Duties included: Merging pull requests
- Supervisor: Professor Hub
- Summer 2015: Research Assistant
- GitHub University
- Duties included: Tagging issues
- Supervisor: Professor Git
Skills
- Skill 1
- Skill 2
- Sub-skill 2.1
- Sub-skill 2.2
- Sub-skill 2.3
- Skill 3
Publications
Talks
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Data-driven global ocean model resolving atmospherically forced ocean dynamics
Conference proceedings talk at Autumn Meeting of Korean Meteorological Society, Gyeongju, South Korea
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AI-based climate modeling and recent advances in climate prediction
Talk at Korea Meteorological Administration, Daejeon, South Korea
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Development of global AI-based ocean and coupled models
Talk at Jeju National University, Jeju, South Korea
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Data-driven global ocean model resolving atmospherically forced ocean dynamics
Conference proceedings talk at European Geosciences Union General Assembly, Vienna, Austria
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Tutorial for deep learning beginners
Talk at Korea Advanced Institute of Science and Technology (KAIST), Daejeon, South Korea
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Utilization of artificial intelligence for climate crisis response
Talk at Jeonbuk National University, Jeonju, South Korea
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Data-driven global ocean model resolving ocean-atmosphere coupling dynamics
Talk at Seoul National University, Seoul, South Korea
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Deep learning for global three-dimensional ocean modeling with physical response consistency
Conference proceedings talk at European Geosciences Union (EGU) 25 General Assembly, Vienna, Austria
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Weather and climate research using AI
Talk at Jeonbuk National University, Jeonju, South Korea
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최근 잦아지는 기상이변, 기후변화 때문일까?
Talk at Chonnam National University, Gwangju, South Korea
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Convolutional networks for climate change detection and tropical cyclone intensity prediction
Talk at Korea Institute of Science and Technology (KIST), Seoul, South Korea
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Convolutional networks for climate change detection and tropical cyclone intensity prediction
Talk at Pohang University of Science and Technology (POSTECH), Pohang, South Korea
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Convolutional networks for climate prediction
Talk at Yonsei University, Seoul, South Korea
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Deep learning for short-term forecasts of tropical cyclone intensity and their rapid intensification
Talk at IBS DS Climate workshop, Daejeon, South Korea
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Deep learning for tropical cyclone intensity change prediction
Conference proceedings talk at KMA Autumn Meeting 2022, Gwangju, South Korea
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Deep learning for tropical cyclone forecasts
Conference proceedings talk at Spring Meeting of Korean Meteorological Society, Busan, South Korea
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Unified deep learning model for El Niño/Southern Oscillation forecasts by incorporating seasonality in climate data
Conference proceedings talk at Autumn Meeting of Korean Meteorological Society, Online
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Development of the short-term ENSO forecast using the ConvLSTM
Conference proceedings talk at Autumn Meeting of Korean Meteorological Society, Online
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Single CNN-based ENSO forecast model for all target seasons
Conference proceedings talk at Autumn Meeting of Korean Meteorological Society, Gyeongju, South Korea
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Deep learning for the climate prediction: Application of the Convolutional Neural Network (CNN) for the ENSO prediction
Conference proceedings talk at European Geosciences Union General Assembly, Vienna, Austria
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Deep learning for the climate prediction: Application of the Convolutional Neural Network (CNN) for the ENSO prediction
Conference proceedings talk at Autumn Meeting of Korean Meteorological Society, Busan, South Korea
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Development of the ENSO forecasting system using the Convolutional Neural Network (CNN)
Conference proceedings talk at Spring Meeting of Korean Meteorological Society, Busan, South Korea
Teaching
Service and leadership
- Currently signed in to 43 different slack teams