Projects
Projects
Self-improving AI, automated research, and biomolecular design.
Multimodal Models / Post-training
UniEvo-VL
An On-policy Self-Distillation Training Recipe for Multimodal Model Self-improvement.?
Self-Improving AI / Automated ResearchIn progress
Recursive Self-Improvement for ML Research and Engineering
Implementing and evaluating self-improvement approaches for kernel optimization and ML algorithm development.
Genomic Foundation Model
EVA
A long-context generative RNA foundation model for universal modeling and controllable design.
Multimodal model/Protein design
PhaseFlow
A unified model for multi-scale biomolecular condensates understanding and design.
Alignment/Synthetic data
Proteo-R1 / Proteo-R2
Multi-modal Reasoning for Multi-scale Biomolecule Understanding and Design
Scaling computation at test time
ProteoCraft
AF3-based hallucination with inference-time scaling for binder and TCR design
Genomic Foundation Model
RILLIE
Capturing natural evolution in function-guided RNA design via genomic foundation models.
RL for Diffusion
What Matters in RL for Diffusion Models?
The dominant role of noise in RL post-training for diffusion models.?
Long-horizon Evaluation / Lab-in-the-LoopIn progress
