RiboPO: Preference Optimization for Structure- and Stability-Aware RNA Design. [Paper]
Minghao Sun (Lawrence)
PhD Candidate · Department of Computer Science
National University of Singapore
I am a PhD candidate in the Department of Computer Science at the National University of Singapore (NUS), advised by Prof. Yang Zhang and supported by the President's Graduate Fellowship (PGF).
I received my bachelor's degree from Zhejiang University (ZJU).
Email: minghao [dot] sun [at] u [dot] nus [dot] edu
Taken at Hong Kong Museum of Art 香港藝術館
Research
My research focuses on agent learning and self-improvement through scalable environments and reliable feedback, with three connected directions:
- Learning from experience. How can agents learn from interaction and feedback, accumulate useful knowledge, and generalize across tasks?
- Scalable environments and self-improving systems. How can environments and feedback scale to support autonomous learning and sustained improvement in agent capabilities?
- AI for Science. How can learning from feedback and self-improvement advance scientific foundation models and scientific discovery, particularly in RNA and protein design?
News
- [2026/09] Two papers accepted at NeurIPS 2026.
- [2026/05] One paper accepted at KDD 2026 AI4Science Track.
- [2026/05] One paper published in eLife.
- [2025/09] One paper accepted at NeurIPS 2025 Datasets and Benchmarks Track.
Selected Publications (Google Scholar)
* equal contribution · † corresponding author
Multi-Oracle Agreement Reveals the Limits of Self-Consistency Evaluation in RNA Design. [Paper]
The Forgetting-Learning Trade-off: Making Reinforcement Learning Work for Protein Language Models. [Paper]
ProteinConformers: large-scale and energetically profiled descriptions of protein conformational landscapes. [Paper]
Ligand-Conditioned Discrete Diffusion for Protein Sequence–Structure Co-Design. [Paper]
ProteinConformers: Benchmark Dataset for Simulating Protein Conformational Landscape Diversity and Plausibility. [Paper]
Academic Services
Reviewer. ICML 2026 (Gold Reviewer), NeurIPS 2026, ICLR 2027, AAAI 2027.
Co-Reviewer. Nature Communications (Early Career Researcher, ECR).
Mentoring. Chelsea Yep (NUS CS Master's Student).