Sangwoong Yoon

Sangwoong Yoon is a Research Fellow in the Department of Electronic and Electrical Engineering at University College London (UCL), working under Professor Ilija Bogunovic on Reliable AI Alignment. His role focuses on developing algorithmic foundations for AI systems that operate safely and risk-awarely in real-world environments, contributing to UCL's leadership in trustworthy artificial intelligence research.

Dr. Yoon's research centers on the intersection of generative modeling and reinforcement learning, with core objectives including building safe AI systems through energy-based models, diffusion processes, and inverse reinforcement learning. His work spans theoretical advances in anomaly detection, kernel density estimation, and sequential decision-making, while maintaining strong application relevance in robotics, biomedical systems, and fluid dynamics. This dual focus on theoretical rigor and practical impact defines his approach to reliable AI development.

Analysis of his publication trajectory reveals consistent innovation in generative AI safety mechanisms, with increasing emphasis on medical and industrial applications since 2022. His recent work demonstrates sophisticated integration of reinforcement learning with diffusion models for robust decision-making, while maintaining cross-disciplinary relevance through collaborations in liver fibrosis research and microfluidics. The high citation counts (e.g., 83 for Deep-Hurricane-Tracker) reflect significant community impact.

As an active member of Professor Bogunovic's research group, Dr. Yoon contributes to UCL's AI ecosystem through NeurIPS 2025 Area Chair duties and collaborative projects advancing reliable AI alignment. His work environment fosters interdisciplinary innovation at the hardware-software-safety interface within UCL's Electronic and Electrical Engineering department.