Alvin Chan Lab AI for Therapeutic Discovery and Precision Medicine

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

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.

Multimodal scientific AI

Multimodal scientific AI

Our AI team studies how foundation models combine modalities, reason over scientific representations, and remain reliable when information sources interact in unexpected ways.

One interdisciplinary lab

One interdisciplinary lab

Researchers in machine learning and experimental science work side by side, connecting model development with real biomedical questions and high-throughput validation.

Selected publications

Towards Understanding Modality Interaction in Multimodal Language Models via Partial Information Decomposition
Towards Understanding Modality Interaction in Multimodal Language Models via Partial Information Decomposition
Wanlong Fang, Tianle Zhang, Wen Tao, Alvin Chan
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
Designing lipid nanoparticles using a transformer-based neural network
Alvin Chan, Ameya R. Kirtane, Qing Rui Qu, Xisha Huang, Jonathan Woo, …, Miguel Jimenez, Michelle Sun, Yuebin Huang, Ceara Byrne, Giovanni Traverso
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.