Mila
An academic AI research institute in Montreal, home to a large machine learning community working on health, science, and responsible AI.
Models (8)
Multimodal diffusion model that co-designs protein sequence and 3D structure around cofactors and small molecules for de novo heme enzyme design.
Generative foundation model that produces atom-level molecular dynamics trajectories for protein monomers and protein-ligand complexes.
MoMPNN
BioGeometry / Peking University / Mila / Université de Montréal / HEC Montréal
Released March 6, 2026
Protein inverse folding model aligning ProteinMPNN by multi-objective preference optimization to improve developability without losing fold fidelity.
Diffusion model predicting single-cell responses to genetic or drug perturbations, generating over distributions to capture population variability.
GENERator-v2
Beijing Zhongguancun Academy / Mila / Université de Montréal / University of Science and Technology of China / HEC Montréal
Released January 29, 2026
Family of autoregressive genomic foundation models that reconcile k-mer tokenization with single-nucleotide resolution at contexts up to 98k bp.
Self-supervised foundation model for 3D brain MRI, learning transferable anatomical representations from unlabeled scans for disease classification.
Joint sequence-structure protein representation framework that fuses ESM-2 language model embeddings with GearNet geometric graph neural networks.
Geometric relational graph neural network that encodes 3D protein structures through geometry-aware message passing and self-supervised pretraining.