Introduction

Yeji Choi received her Bachelor's degree in Atmospheric Science from Yonsei University in 2007 and earned her Ph.D. in Atmospheric Science, focusing on satellite meteorology, from the same university in 2018. She completed her postdoctoral research at the Korea Institute of Science and Technology Information (KISTI) until 2020, where she began research on using AI technology for weather analysis and forecasting. Afterward, she worked as a researcher at the AI Research Center of SI-Analytics from 2020 to 2022. In 2023, she served as the Head of the Earth Intelligence Division at the same company, and in 2024, she returned to the AI Research Center as the Team Leader for the Weather and Climate Team. Starting in January 2025, she transitioned to DI Lab Inc. as the CTO, where she is responsible for business planning/development, data analysis, and the development of artificial intelligence models. 

With her background in meteorology, Dr. Choi is particularly interested in observing atmospheric conditions from satellite imagery and developing predictive and analytical algorithms using AI. Through her research, she aims to address the imbalance of climate information in this era of climate crisis, leveraging AI technology and satellite data to create disaster adaptation solutions for developing countries and contribute to climate change mitigation. 

In addition, she is an active member of AI Friends, working to use AI technology for positive social impact. She is also the author of the book "A Future Coexisting with Humanity: Artificial Intelligence." Since 2022, Dr. Choi has been an active mentor in SheSpace, a program aimed at fostering female talent in the space sector. Dr. Choi has also been a certified Deep Learning instructor for NVIDIA DLI, sharing her expertise and knowledge in the field.

Work Experience

- CTO, Climate intelligence lab, DI Lab Inc, Seoul, S.Korea (2025.01 ~)

- Team lead of Weather and Climate, AI Research Center, SI Analytics, Daejeon, S.Korea (2024.08 ~ 2024.12)

- Head of Division, Earth Intelligence, SI Analytics, Daejeon, S.Korea (2023.01~ 2024.07)

- Research Scientist, AI research center, SI Analytics, Daejeon, S.Korea (2020.02~2022.12)

- Postdoctoral Researcher, Supercomputing Infrastructure Center, Korea Institute of Science and Technology Information (KISTI), Daejeon, S.Korea (2018.09~2020.02)

- Researcher, Earth Environment Research Institute, Yonsei University, Seoul, S.Korea (2012~2018)

Education

- Ph.D. in Atmospheric Sciences, Yonsei University (Graduated August 2018).

Thesis: Typhoon rainfall intensity measurements based on microwave satellite observations and cloud resolving models, this study focused on building a database for satellite precipitation retrieval algorithms based on the microphysics parameterizations of the WRF model and identifying the parameterization scheme that produces microwave emission and scattering signals most similar to observed precipitation systems. By selecting the optimal scheme, the study aimed to improve the accuracy of precipitation retrievals. 

- Bachelor of Science in Atmospheric Sciences, Yonsei University (Graduated August 2007)

-  Participation in Deep Learning for Tensorflow tutorial (2019)

-  Participation in Python tutorial (2019)

-  Participation in OpenACC tutorial workshop for GPU accelerated NWP, Daejeon, Korea (2015)

Certifications

-  [NVIDIA] DLI instructor for Applications of AI for Predictive Maintenance (2022~)

-  [NVIDIA] DLI instructor for Application of AI for Anomaly Detection (2022~)

-  [NVIDIA] DLI Instructor for Fundamentals of Deep learning (2021~)

-  [NVIDIA] DLI Instructor for Fundamentals of Deep Learning for Computer Vision, (2020~)

-   [NVIDIA] Certificate of Fundamentals of Deep Learning for Multiple data Type (2019)

-   [NVIDIA] Certificate of Fundamentals of Deep Learning for Computer Vision (2019)

-   [NVIDIA] Certificate of Deep Learning for Multi-GPUs (2019)

-   [NCAR] Certificate for WRF Basic tutorial, Boulder, USA (2017)

- [HRDK] Engineer Urban Planning (2008~)

- [HRDK] Engineer Meteorology (2007~)

- [HRDK] Engineer Information Processing (2008~)

Publications

2025-01. Sunjoo Lee et al.,  (corresponding author) "Guided Super Resolution of Land Surface Temperature Using Multi-Satellite Imageries."IEEE Transactions of Geoscience and Remote Sensing, 63, 2025 [Link]

2025-02. Doyi Kim and Yeji Choi. "Utilization of satellite imagery and artificial intelligence for disaster management: Approaches and case studies." ITU Journal on Future and Evolving Technologies 6 (1), 47-56, 2025 [Link]

2025-03. Young-Jae Park et al., "Data-driven Precipitation Nowcasting Using Satellite Imagery." AAAI2025, 2025 [Link]

2024-01. Yoon, Donggeun, et al. "Probabilistic Weather Forecasting with Deterministic Guidance-Based Diffusion Model." ECCV, 2024. [Link]

2024-02.  Cho, Eunbin, Eunbin Kim, and Yeji Choi. "Cloud Cover Prediction Model Using Multi-Channel Geostationary Satellite Images." IEEE Transactions on Geoscience and Remote Sensing (2024). [Link]

2024-03.  Park, Young-Jae, et al. "Long-Term Typhoon Trajectory Prediction: A Physics-Conditioned Approach Without Reanalysis Data." The Twelfth International Conference on Learning Representations. 2024 (Spotlight paper).[Link]

2023-01.  Kim, Doyi, et al., (corresponding author) "Short-term forecasting of typhoon rainfall with a deep-learning-based disaster monitoring model." Environmental Data Science 2 (2023): e28. [Link]

2023-02.  Gruca, Aleksandra, et al. "Weather4cast at neurips 2022: Super-resolution rain movie prediction under spatio-temporal shifts." NeurIPS 2022 Competition Track. PMLR, 2023. [Link]

2023-03.  Kim, Soyeon, et al. "Explainable AI-Based Interface System for Weather Forecasting Model." International Conference on Human-Computer Interaction. Cham: Springer Nature Switzerland, 2023.[Link]

2023-04.  Choi, Yeji, and Eunbin Kim. "Deep learning based XCO2 global map generation using satellite observations." EGU General Assembly Conference Abstracts. 2023. [Link]

2023-05. Kim, Doyi, et al. "Forecasting and Tracking Convective Clouds based on the Deep Learning Method using Geostationary Satellite Imageries." 103rd AMS Annual Meeting. AMS, 2023. [Link]

2022-01.  Seo, M., Choi, Y (corresponding author)., Ryu, H., Park, H., Bae, H., Lee, H., & Seo, W. “Intermediate and Future Frame Prediction of Geostationary Satellite Imagery With Warp and Refine Network”. The Role of AI in Responding to Climate Challenges workshops on AAAI Fall Symposium Series (2022).  [Link]   

2022-02.  Seo, M., Kim, D., Shin, S., Kim, E., Ahn, S., & Choi, Y (corresponding author). “Domain Generalization Strategy to Train Classifiers Robust to Spatial-Temporal Shift”. Weather4cast competition Core Transfer Track 1st place solution in Weather4Cast competition at NeuIPS22 . [Link]

2022-03.  Seo, M., Kim, D., Shin, S., Kim, E., Ahn, S., & Choi, Y (corresponding author). “Simple Baseline for Weather Forecasting Using Spatiotemporal Context Aggregation Network.” Weather4cast competition Core Transfer Track 1st place solution in Weather4Cast competition at NeuIPS22. [Link]

2021-01.  Yeji Choi, et al. "RAIN-F+: The Data-Driven Precipitation Prediction Model for Integrated Weather Observations." Remote Sensing 13.18 (2021/09): 3627. [Link]

2021-02.  Keumgang Cha, Junghoon Seo, and Yeji Choi. "Contrastive Multiview Coding With Electro-Optics for SAR Semantic Segmentation." IEEE Geoscience and Remote Sensing Letters (2021/09). [Link]

2021-03. Guohua Li and Yeji Choi (corresponding author), “HPC Cluster-based User-defined Data Integration Platform for Deep Learning in Geoscience Applications”, Computers and Geosciences (2021/06) [Link]

2021-04.  Sewoong An, Yeji Choi, and Kwangjin Yoon, “Deep Learning-based Distortion Sensitivity Prediction for Full-Reference Image Quality Assessment”, NTIRE2021 workshop (2021/06) [Link]

2020-01.  Yeji Choi and Seongchan Kim, “Rain-Type Classification From Microwave Satellite Observations Using Deep Neural Network Segmentation”, IEEE Geoscience and Remote Sensing Letters (2020). [Link]

2019-01.  Choi, et al. "Passive Microwave Precipitation Retrieval Algorithm With A Priori Databases of Various Cloud Microphysics Schemes: Tropical Cyclone Applications." IEEE Transactions on Geoscience and Remote Sensing (2019). [Link]

2018-01.  Yeji Choi, Dong-Bin Shin, and Minsu Joh. "Assessment of WRF microphysics schemes in simulation of extreme precipitation events based on microwave radiative signatures." International journal of remote sensing 39.23 (2018): 8527-8551. [Link]

2015-01.  Kim, Sung-Woo, Dong-Bin Shin, and Yeji Choi. "Effects of the three-dimensional hydrometeor distributions of precipitating clouds on passive microwave rainfall estimations." IEEE Transactions on Geoscience and Remote Sensing 54.4 (2015): 1957-1966. [Link]

Patent

1.     Method Of Image-To-Image Translation Using Diffusion Model, US Patent App. 18/769,297, 2025  [Link]      

2.     Method For Predicting Solar Power Generation Considering Cloud Cover Prediction Information–US Patent App., 18/769, 2025 [Link]         

3.     Method and apparatus for generating weather data based on machine learning–US Patent, 11816554, 2023 [Link]

4.         Method for scheduling of shooting satellite images based on deep learning – US Patent, 11620819, 2023 [Link]

5.        Method Of Predicting Amount Of Precipitation Based On Deep Learning - US Patent App. 17/672,431, 2022 [Link]

6.        Method For Classification Of Precipitation Type Based On Deep Learning - US Patent App. 17/580,286, 2022 [Link]

Books

“Artificial Intelligence: The Future of Coexistence with Humanity”, Ida Books (Korea), 2021. [Link]

"Weather and AI", CommunicationBooks (Korea), 2025  [Link] 

Awards

-  AI for Good Climate Change Innovation Factory @COP28, (2023)

-  Weather4cast Best Paper Award, Weather4cast 2022 Transfer Learning Award, and 3rd prize of Weather4cast 2022, (2022)

-  Award for the 1st prize, the 2020 Research Data and AI Analysis Contest, Korea, (2020)

-  Award for the 2nd place, The 1st KMA International meteorological satellite conference, Seoul, Korea (2015)

-  Scholarship from Lotte Foundation, Korea (2011)