AI for Therapeutic Discovery and Precision Medicine
We are an interdisciplinary research group at Nanyang Technological University. We combine generative AI, multimodal learning, and high-throughput experimentation to make therapeutic discovery faster, more precise, and more accessible.
Research at the interface of AI and medicine
Intelligent therapeutics
We develop models that connect molecular structures, formulations, biological measurements, and clinical questions. The goal is to turn complex biomedical data into actionable designs for precision healthcare.
Selected publications
Towards Understanding Modality Interaction in Multimodal Language Models via Partial Information Decomposition
Forty-Third International Conference on Machine Learning (ICML 2026)
·
2026
Understanding modality interaction in multimodal large language models (MLLMs) is central to reliable deployment. We introduce Partial Information Decomposition (PID) as a decision-level framework that separates unique, redundant, and synergistic contributions of sensory and linguistic inputs, beyond representation alignment and outcome-based evaluation.
Designing lipid nanoparticles using a transformer-based neural network
Nature Nanotechnology
·
2025
The RNA medicine revolution has been spurred by lipid nanoparticles (LNPs). The effectiveness of an LNP is determined by its lipid components and their ratios; however, experimental optimization is laborious and does not explore the full design space.