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Registration opens August 15th at www.idwsds.org.
Company: Republic of Korea clear filter
Tuesday, October 6
 

04:00 UTC

S105 - Towards Inclusive Medical AI: Mitigating Data Bias and Fostering Equity
Tuesday October 6, 2026 04:00 - 05:00 UTC
As artificial intelligence becomes deeply integrated into healthcare, addressing inherent biases and ensuring equitable outcomes is paramount. This session explores multidisciplinary strategies for developing inclusive and fair medical AI systems. The panel brings together four experts to discuss critical challenges and actionable solutions. Dr. Heajin Kim (Chair) will highlight the importance of reflecting sex and gender characteristics in medical AI to foster equity. Researcher Jeongyeon Kim will provide a critical analysis of data bias issues within Korea's AI Hub. Dr. Yuseong Chu will review current research trends and methodologies for achieving algorithmic fairness in healthcare. Finally, Dr. Wonjung Park will introduce innovative approaches utilizing synthetic data generation to address dataset imbalances. Together, this session offers a comprehensive roadmap towards trustworthy and inclusive medical AI.
Speakers
avatar for Jeongyeon Kim

Jeongyeon Kim

Researcher
Jeongyeon Kim is a Researcher at the Center for Gendered Innovations in Science and Technology Research (GISTeR). She earned her bachelor’s degree with a double major in Statistics and Information Technology. Her current work focuses on analyzing bias and representativeness in healthcare... Read More →
avatar for Yusung Chu

Yusung Chu

Yonsei University, Postdoctoral Researcher
Dr. Yusung Chu received his B.S. and Ph.D. degrees in Biomedical Engineering from Yonsei University. He is currently a Postdoctoral Researcher in the Department of Precision Medicine at Yonsei University Wonju College of Medicine. His research focuses on medical artificial intelligence... Read More →
avatar for Wonjung Park

Wonjung Park

KAIST
Dr. Wonjung Park is a Postdoctoral Researcher in the Computer Graphics and Visualization Lab at KAIST. She received her Ph.D. in Computer Science from KAIST in 2026. Her research specializes in NeuroImaging and Generative AI, with a particular focus on the biological trustworthiness... Read More →
Chairs/Hosts Organizers
Tuesday October 6, 2026 04:00 - 05:00 UTC
Zoom Room #1

08:00 UTC

S109 - Advances in Statistical Methods for Complex and High-Dimensional Data
Tuesday October 6, 2026 08:00 - 09:00 UTC
This session brings together recent advances in statistical methodology for analyzing complex, high-dimensional, and heterogeneous data arising in modern biomedical and genetic research. The presentations cover a broad range of topics, including variable screening for mixed-type and high-dimensional data, integration of mechanistic and statistical models for infectious disease prediction, semiparametric approaches for meta-analysis, and set-based association testing for functional genetic responses. Together, these talks highlight emerging statistical frameworks that improve flexibility, scalability, and interpretability in the analysis of complex data structures.
Speakers
avatar for Haeun Moon

Haeun Moon

Seoul National University
Haeun Moon is an assistant professor in the Department of Transdisciplinary Innovations and the Department of Statistics at the Seoul National University, South Korea. Before joining SNU, she was a postdoctoral researcher in the Department of Statistics and Data Science at Carnegie... Read More →
avatar for Saebom Jeon

Saebom Jeon

Sungshin Women’s University
Saebom Jeon is an associate professor in the School of Mathematics, Statistics and Data Science at Sungshin Women’s University and a research member of the Biomedical Mathematics Group at the Institute for Basic Science (IBS), Korea. She received her Ph.D. in Statistics from Korea... Read More →
avatar for Eunjee Lee

Eunjee Lee

Chungnam National University
Eunjee Lee is an Associate Professor in the Department of Information and Statistics at Chungnam National University. Her research focuses on functional data analysis, biomedical imaging, brain network analysis, and Bayesian methodology. She has developed statistical models for complex... Read More →
avatar for Sunyoung Shin

Sunyoung Shin

Pohang University of Science and Technology
Sunyoung Shin is an Associate Professor in Department of Mathematics at Pohang University of Science and Technology. Her research lies at the intersection of statistical learning and reinforcement learning, with a focus on developing scalable methods for high-dimensional data, particularly... Read More →
Chairs/Hosts Organizers
Tuesday October 6, 2026 08:00 - 09:00 UTC
Zoom Room #1
 
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