Monash University

A conditional denoising diffusion model that generates antigen-specific TCR CDR3β sequences conditioned on peptide-MHC targets and germline V-genes.

A Dirichlet flow-matching model that generates family-aware protein sequences by initializing from ancestral-reconstruction lineage priors rather than random noise.

Graph Transformer foundation model integrating 3 million protein pockets and 5 million molecules as E(3)-equivariant graphs for joint protein-ligand geometric representation learning.

A parameter-efficient (5.6M) multimodal foundation model that fuses fMRI time series with diffusion-MRI structural connectivity for brain dynamics analysis.

A CLIP-based visual-language foundation model for multi-modal ophthalmic imaging, enabling zero-shot disease detection across 11 modalities including fundus, OCT, and slit-lamp.

A reinforcement-learning-enhanced general medical vision-language model that adds step-by-step reasoning for medical image diagnosis and visual question answering.