Cho HyeminDoctorate course
- B.S. in Civil and Environmental Engineering, KAIST (2019)
- M.S. in KAIST Moon Soul Graduate School of Future Strategy (2026)
Climate change
Sustainable cities
Multi-hazard
Health inequality
Publication
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Cho, H., Choi, J., No, W., Oh, M., & Kim, Y. (2021). Accessibility of welfare facilities for elderly people in Daejeon, South Korea considering public transportation accessibility. Transportation research interdisciplinary perspectives, 12, 100514.
Hyemin Cho studies the structural mechanisms through which the interactions among climate change, infrastructure, and health inequality shape compound disaster risks in the Global South. Through data-driven empirical analysis, she aims to contribute to sustainable urban planning and the design of resilient social systems in the era of climate crisis.
GATZWEILER, Simon KarlDoctorate course
- Bachelor of Science in Technical Business Administration, Clausthal University of Technology (2020)
- Master of Science in Management and Technology, Technical University of Munich (2023)
Climate finance
climate tech finance
Climate transition risk
Sustainable policies
Simon Gatzweiler is a PhD candidate at KAIST with a background in entrepreneurial finance and industrial engineering. His interest in sustainable finance is informed by hands-on experience at several impact-driven climate tech startups, giving him practical insights into sustainable business models.
His strong interest in sustainable finance drives his research, where he dives into the dynamics of transition risk, energy shifts, and the impact of policies on the climate tech sector—especially within private equity and venture capital.
Kim Do-iDoctorate course
- Bachelor's in Environmental Engineering, Ewha Womans University (2020)
- Master's in Climate and Energy Systems Engineering, Ewha Womans University (2022)
AI-based Weather Forecasting
Climate Risk Quantification
International Cooperation
Publication
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Kim, D., Kim, H. J., & Choi, Y. S. (2023). Unsupervised clustering of Geostationary Satellite Cloud properties for estimating precipitation probabilities of Tropical Convective clouds. Journal of Applied Meteorology and Climatology, 62(8), 1083-1094.
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Yoon, D., Seo, M., Kim, D., Choi, Y., & Cho, D. (2024). Probabilistic weather forecasting with deterministic guidance-based diffusion model. In European Conference on Computer Vision (pp. 108-124)
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Park, Y. J., Seo, M., Kim, D., … & Choi, Y. (2023). Long-Term Typhoon Trajectory Prediction: A Physics-Conditioned Approach Without Reanalysis Data. In The Twelfth International Conference on Learning Representations.
Do-i Kim has conducted research on deep learning–based weather forecasting. She has primarily focused on precipitation prediction using diverse datasets, including satellite, observation, and numerical weather prediction model data. She has also participated in studies aimed at detecting and assessing hydrometeorological disasters resulting from such phenomena. During her doctoral studies, she aims to explore technologies that reflect climate policy and financial contexts while deepening her understanding of the social and economic impacts closely linked to technology.
Kim Hee-yeonDoctorate course
- Bachelor's in Economics & Political Science and Diplomacy, Ewha Womans University (2021)
Sustainable Finance
Energy Infrastructure Asset Investment
Asset Valuation
Kim Hee-yeon is interested in sustainable finance, particularly in environmental and financial valuation methods for energy infrastructure assets. She studied economics during her undergraduate studies and worked for two years at SK Management and Economic Research Institute, exploring corporate sustainability from a business perspective. Building on this experience, her goal is to conduct research that provides accurate and consistent investment information on energy infrastructure assets to financial industry stakeholders, ultimately contributing to carbon neutrality.
Kim SeongeunDoctorate course
- B.S. in Economics, Keio University (2020)
- M.S. in Public Policy, Australian National University (2022)
Integrated assessment models
GCAM
Steel industry
Decarbonization
Seongeun Kim has experience working on multilateral cooperation projects and policy analysis in the Asia-Pacific region. Based on a strong interest in decarbonization, she aims to study decarbonization pathways for the steel industry during her doctoral program, as it is considered one of the most difficult sectors to transition. Through this research, she hopes to present policy and technological implications that can contribute to the decarbonization of the steel industry and to South Korea’s achievement of carbon neutrality.
Kim Won-youngDoctorate course
- Bachelor's in Economics, Yonsei University Mirae Campus (2022)
- Master's in Economics, Yonsei University Graduate School (2024)
Energy Economics and Policy
Environmental Economics and Policy
Causal Inference
Kim Won-young is conducting research on energy and environmental economics and policy. Specifically, his work focuses on policy evaluation related to energy demand management and welfare using empirical methodologies based on causal inference frameworks. He aims to become a policy expert addressing energy and environmental issues after completing his Ph.D. program.
