Sun Sun, Ph.D.

Researcher in AI/ML, Generative Models, Agentic AI, and World Models

Email: sun.sun@nrc-cnrc.gc.ca

Senior research officer, National Research Council (NRC), Canada
Adjunct professor, Cheriton School of Computer Science, University of Waterloo

Google Scholar CV

About Me

I mainly work on machine learning, generative AI, and their applications. My recent projects focus on applications in health, video generation, gaming, materials discovery, and drug design.

Recent News

• Our paper "ASH: Agents that Self-Hone via Embodied Learning" has been accepted to NeurIPS 2026.
• Our paper "Context Forcing: Consistent Autoregressive Video Generation with Long Context" has been accepted to ICML 2026.
• Our paper "ASH: Agents that Self-Hone via Embodied Learning" has been accepted to the ICML 2026 workshop on SCALE.
• Our paper "DELBERT-2: Pretrained Fingerprint Language Models for DEL Protein Binder Prediction" has been accepted to the ICML 2026 workshops on GenBio and FM4LS.
• Our paper "NeuralOS: Towards Simulating Operating Systems via Neural Generative Models" has been accepted to ICLR 2026.
• NUCC project on "Canada Synthetic Health Data (CAN-SYNH) Network for Health AI Innovation" with Helen Chen and Anita Layton at University of Waterloo.
• New Beginnings project on "Towards acceleration of diffusion models in multimodal generation" with Wenhu Chen at University of Waterloo.

Projects

• “Canada Synthetic Health Data (CAN-SYNH) Network for Health AI Innovation,” in collaboration with Helen Chen and Anita Layton from the University of Waterloo under the NUCC program (2025/04--2027/09).
• "Towards acceleration of diffusion models in multimodal generation," in collaboration with Wenhu Chen from University of Waterloo under the New Beginnings program (2025/04--2026/05).
• "Accelerating scientific discovery with large language models," in collaboration with Wenhu Chen from University of Waterloo under the AI4D challenge program (2024/04--2026/04).
• "Towards Simulating Operating Systems via Neural Generative Models," in collaboration with Yuntian Deng from University of Waterloo under the AI4D challenge program (2024/04--2026/04).
• Projects on Machine Learning for Efficient and Effective Molecule Search, in collaboration with Mila (2023/09--2026/09).
• Projects on AI for logistics, in collaboration with Xin Wang from University of Calgary (2021/04--2026/01).
• Projects on deep generative models, in collaboration with Yaoliang Yu from University of Waterloo (2020/09--2023/09).

Selected Publications [Full List]