This is Dr. Danqing Shi 史丹青
originally from Shanghai
Email / Linkedin / ScholarI am a researcher at the University of Cambridge and Lund University. I build computational behavior models and intelligent interactive systems for human-AI interaction.
Media Highlights
- ✨ Long-term funding (2026-2031) from Swedish Research Council to study how people interact with computers, AI, and future user interfaces
- 👁️ AI that mirrors how humans behave can drive better designs
- 🦾 Advances in AI models simulating human behavior
- 🤖 MIT Technology Review 中文: Researchers propose a novel interactive method that improves human feedback for AI alignment
- 👩💻 Better AI models by incorporating human feedback into training
Suyog Chandramouli, Danqing Shi, Aini Putkonen, Sebastiaan De Peuter, Shanshan Zhang, Jussi Jokinen, Andrew Howes, Antti Oulasvirta
Computational Brain & Behavior
Danqing Shi, Yujun Zhu, Jussi P.P. Jokinen, Aditya Acharya, Aini Putkonen, Shumin Zhai, Antti Oulasvirta
CHI 2024 🏅 Best Paper Honorable Mention
Danqing Shi, Yao Wang, Yunpeng Bai, Andreas Bulling, Antti Oulasvirta
CHI 2025
Danqing Shi, Yujun Zhu, FE Fernandes Jr., Shumin Zhai, Antti Oulasvirta
CHI 2025 🏅 Best Paper Honorable Mention
Danqing Shi, Furui Cheng, Tino Weinkauf, Antti Oulasvirta, Menna El-Assady
UIST 2025
Jan Kompatscher*, Danqing Shi, Giovanna Varni, Tino Weinkauf, Antti Oulasvirta (*2024 AScI summer intern and thesis student)
Computer Graphics Forum
Danqing Shi, Shibei Zhu, Tino Weinkauf, Antti Oulasvirta
IROS 2024
A data visualization software [sdq.github.io/calliope] that employs advanced AI techniques to automatically analyze data and represent data insights in the form of narrative visualization. In 2021, Calliope joined Greenplum (VMware Software) as a plugin feature [link].
An open-source visualization library for authoring charts that facilitate data storytelling with a high-level, action-oriented declarative grammar [narchart.github.io].
Dr. Danqing Shi is a postdoctoral research associate at the Department of Engineering, University of Cambridge. His research interests include human-AI interaction, human behavior modeling, human-computer interaction, and visualization. Before joining Cambridge, he received his PhD from Tongji University and worked as a postdoc researcher at Finnish Center for AI, and a visiting scholar at ETH Zurich. More infomation can be found at https://sdq.github.io
史丹青博士现为剑桥大学工程系机器学习组副研究员, 他即将加入瑞典隆德大学任终身轨助理教授。他的研究方向包括人机交互、行为建模、可视化与智能用户界面。他于同济大学获得工学博士学位, 任芬兰人工智能中心博士后研究员, 苏黎世联邦理工访问学者。他的研究成果曾多次获得业内顶级国际会议ACM CHI等最佳论文荣誉提名奖。更多信息请访问 https://sdq.github.io
Assistant Professor, Lund University, Sweden助理教授, 隆德大学 - 人机交互研究组, 瑞典隆德 (2026 - )
Research Associate, University of Cambridge, Cambridge, UK 副研究员, 剑桥大学 - 机器学习研究组, 英国剑桥
Ph.D. and M.Sc., Tongji University, Shanghai China博士、硕士, 同济大学, 中国上海
B.Eng, East China Normal University, Shanghai China学士, 华东师范大学, 中国上海
Postdoc Researcher, FCAI & Aalto University, Helsinki, Finland博士后, 芬兰人工智能中心 - 计算行为实验室, 芬兰赫尔辛基
Academic Guest, ETH Zürich - IVIA Lab, Zurich, Switzerland访问学者, 苏黎世联邦理工 - 智能增强实验室, 瑞士苏黎世
Visiting Researcher, University of Stuttgart - CAI Lab, Stuttgart, Germany访问研究员, 斯图加特大学 - 协作智能实验室, 德国斯图加特
Research Intern, Microsoft Research Asia, Beijing, China研究实习, 微软亚洲研究院, 中国北京
Associate Chair @ ACM CHI 2027, 2026, IEEE VIS 2026, 2025
Senior Program Committee @ ACM IUI 2027, 2026, 2025
Program Committee @ NordiCHI 2026, BiAlign 2026, ETRA 2026, ETRA 2025 ETVIS, ChinaVis 2023-2025
Co-organizer @ S³CIX 2026 - Theory in CIX, IEEE VIS 2024 Gen4DS
Session Chair @ ACM CHI 2026, 2025
2025 DAAD AI-net Fellow on Explainable AI
2025 ACM CHI Best Paper Honorable Mention
2024 ACM CHI Best Paper Honorable Mention
2024 IEEE PacificVis Best Paper Honorable Mention
2023 IEEE VIS Best Poster Honorable Mention
2022 Shanghai Outstanding Ph.D. Graduate
2021 Award of Excellence @ Microsoft Research Asia "Stars of Tomorrow"
2021 ChinaVis Best Poster Honorable Mention
2021 CAD/Graphics Best Poster