Wynne Hsu

Wynne Hsu serves as Provost's Chair Professor in the Department of Computer Science at NUS School of Computing and Director of the Institute of Data Science (IDS), driving Singapore's AI research agenda through strategic academic leadership and healthcare innovation.

Her academic foundation includes:

• B.Sc. in Computer Science, National University of Singapore
• M.Sc. in Computer Science, Purdue University, U.S.A.
• Ph.D. in Electrical & Computer Engineering, Purdue University, U.S.A. (1994)

Professor Hsu's research integrates Artificial Intelligence and Machine Learning with critical healthcare applications, specializing in Retinal Image Analysis for diabetic complications, Social Media Analytics for misinformation containment, and Spatio-temporal Data Mining for dynamic system modeling. Her patient similarity analytics framework has enabled risk communication tools deployed in Singapore's national diabetes program, demonstrating translational impact from algorithmic innovation to clinical practice. Recent work emphasizes multimodal AI systems that bridge ophthalmology with systemic disease prediction.

Analysis of her 2025 publications reveals three converging trajectories: (1) Healthcare AI extending from retinal diagnostics to kidney disease and dementia prediction using deep learning, (2) Temporal reasoning frameworks for claim verification addressing misinformation through timeline analysis, and (3) Privacy-preserving multimodal LLMs tackling inadvertent data memorization. These strands reflect her consistent focus on robust, clinically actionable AI systems.

Her exceptional contributions are recognized by:

• President’s Technology Award, Singapore (2014) for national AI healthcare impact
• SIGKDD Test-of-Time Award (2014) for foundational social network influence research

As IDS Director, Professor Hsu secures strategic grants for national AI screening programs while mentoring cross-disciplinary teams that combine computer vision expertise with clinical partnerships. Her leadership has established NUS as a hub for healthcare AI validation, particularly in multi-ethnic populations through collaborations with Singapore's National Healthcare Group.

The Institute of Data Science under her direction operates as Singapore's central AI innovation engine, with current initiatives focused on multimodal disease progression modeling and temporal fact verification systems. Key projects integrate retinal vessel analysis with cardiovascular risk prediction and develop LLM-based tools for physician-patient communication in chronic disease management, maintaining strong alignment with national healthcare priorities.