DeepDelta Lab: Make Change (Δ) Happen!

We are DeepDelta Lab, a research group at School of Artificial Intelligence in Shanghai Jiao Tong University. The PI of DeepDelta Lab is Dr. Shaobo Cui.

We have four overarching goals:

1. LLMs for Science (Medicine & Biology): Develop domain-specialized LLMs for medicine and biology, including multimodal biomedical modeling, literature-grounded reasoning, structure-aware learning for molecules and proteins, uncertainty quantification, and safe, decision-ready support for clinicians and scientists.
2. Visual Intelligence: Build scalable visual and multimodal models for perception and reasoning. Topics include efficient pretraining and adaptation, instruction tuning, vision–language grounding, long-context video understanding, and safety evaluation.
3. Alignment of Large Language Models: Build reliable, efficient, and steerable LLMs that can reason, plan, and collaborate. Focus particularly on the alignment stage of LLMs.
4. Causal Intelligence: Equip models with causal representations to reason under uncertainty and generalize robustly.

PI 介绍 (DeepDelta Lab @ SJTU): 崔少波，上海交通大学人工智能学院长聘教轨助理教授，博士生导师，国家高层次青年人才，上海市海外高层次青年人才。毕业于 EPFL，获计算机与通信科学专业 博士学位，师从国际人工智能与多智能体领域知名学者 Boi Faltings 教授（AAAI Fellow、EuRAI Fellow）。 崔少波博士的研究聚焦于：因果智能、世界模型、大语言模型、AI 在医疗方向的前沿应用等。 代表性荣誉与成果包括：G-Research PhD Prize、德国 DAAD AINet Fellow (AI4Science Track)、阿里巴巴明日之星、NAACL 杰出论文奖、北京市优秀毕业生、清华大学优秀学位论文等。相关技术成果已在冬奥会、阿里云等大规模场景中落地应用。作为第一开发人构建的因果工具累计下载量 超 17 万次。

Group Members

Faculty

Shaobo Cui

Tenure-Track Assistant professor

• PhD from EPFL

• G-Research PhD Prize

PhD and Master Students

Huaiyu Wu

Master Student

• Bachelor from Tsinghua University

This could be you !

See openings for more info

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